Principal Data Scientist FOR Enterprise Data Solutions Jobs in Gurgaon

Position: IT Sales Specialist Experience: 2-3 Years Working Days: 5 Days per Week Working Hours: 9 Hours per Day Qualification: Any Graduate (or equivalent) with relevant experience Job Overview: We are seeking an experienced IT Sales Specialist to drive sales of enterprise IT solutions including data sales, messaging software, and data validation services. The ideal candidate will be skilled in building strong client relationships, identifying business opportunities, and closing deals while maintaining a robust sales pipeline focused on corporate and government sectors. Key Responsibilities: Target Achievement Meet or exceed individual and team sales targets. Drive consistent revenue growth by acquiring and developing new business. Customer Profiling & Prospecting Conduct in-depth research to identify target markets and key decision-makers. Build and maintain a strong sales pipeline focused on corporate and government institutional sectors. Solution Selling Present and sell enterprise-grade IT solutions such as data sales, data markets, messaging software, and data validation services. Align client business needs with appropriate technology solutions. Client Relationship Management Develop and maintain long-term relationships with clients for sustained business growth. Manage full sales cycle from prospecting to closure and payment collection. Strategic Business Development Formulate business plans emphasizing profitability, cost control, and strategic growth. Identify opportunities for cross-selling and up-selling within existing accounts. Training & Development Participate in product training to stay current on IT solutions. Coach and mentor junior team members to improve their sales effectiveness. Market Research & Insights Analyze market trends, customer pain points, and competitor activity to refine sales strategies. Deliver customized presentations and demonstrations tailored to client needs. Operational Excellence Follow company policies, procedures, and compliance standards. Conduct performance reviews and share insights with management. Requirements: Technical Expertise Proven experience in selling enterprise IT solutions including data sales, messaging, and validation services. Proficiency in video conferencing, email automation, CRM, and sales technologies. Sales Skills Strong understanding of the sales process, CRM tools, and go-to-market strategies. Experience with B2B sales, particularly in IT and technology sectors. Market Knowledge Knowledge of global markets, customer segmentation, and industry-specific dynamics. Experience working across diverse industries and international markets. Communication & Soft Skills Excellent presentation, negotiation, and closing skills. Ability to engage with C-level executives and key decision-makers effectively. Strong relationship management, multitasking, and time management abilities. Self-motivated, target-driven, and a collaborative team player with exceptional communication skills.

Position: Infrastructure Engineer - SQL, Oracle, Sybase Location: Gurgaon Department: IT / Infrastructure Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is looking for a skilled Infrastructure Engineer with deep expertise in SQL, Oracle, and Sybase databases. The successful candidate will design, optimize, and maintain enterprise database environments ensuring high performance, robust security, and data integrity. Role and Responsibilities: Design, implement, and manage enterprise databases using MySQL, Oracle Database, and Sybase platforms. Optimize database performance by employing techniques such as indexing, partitioning, and query optimization. Troubleshoot and resolve query-related and performance issues to maintain smooth database operations. Implement database backup, recovery, and disaster recovery processes to safeguard data. Develop and maintain database security policies, managing user roles, permissions, and access controls. Collaborate with development teams to understand database requirements and deliver efficient solutions. Document database architectures, configurations, operational procedures, and technical protocols. Monitor database performance and scalability to ensure reliability and efficiency. Evaluate emerging database technologies and incorporate updates as needed. Provide guidance on process accountability, data monitoring, and exception handling to improve data quality. Work with cross-functional teams to optimize business processes through automation and simplification. Utilize data conversion tools and techniques to assist with data migration and transformation initiatives. Skills and Experience: Bachelor s or Master s degree in Computer Science, Information Technology, or a related discipline. Relevant certifications in Oracle, MySQL, or Sybase are preferred. 6 to 8 years of experience in infrastructure engineering with hands-on expertise in MySQL, Oracle, and Sybase databases. Strong SQL programming skills and deep understanding of database management system principles. Proven experience in query debugging, performance tuning, and troubleshooting. Excellent analytical, problem-solving, and communication skills. Familiarity with data migration and transformation processes and tools. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related discipline.

Account Executive Enterprise Software Sales (Gurgaon, India) Full-Time | India Gurgaon | Salesforce MuleSoft About the Role MuleSoft, a leader in enterprise integration and API management, is revolutionizing the way organizations connect data, applications, and devices. With over 1,200 global enterprise customers and a growing market, we re looking for a high-performing Account Executive based in Gurgaon, India, to drive growth and revenue across strategic accounts. As an Account Executive, you will take ownership of your territory, lead the end-to-end sales process, and deliver high-impact solutions that solve critical integration challenges for CIOs and business leaders. Key Responsibilities Own and execute the full sales cycle from prospecting to deal closure for enterprise-level software solutions Drive revenue growth by exceeding sales quotas and building a strong pipeline of opportunities Engage senior IT and business leaders in consultative, outcome-based sales conversations Develop and execute a go-to-market strategy for greenfield and existing accounts Collaborate with cross-functional teams including Sales Engineering, Marketing, and Customer Success Deliver long-term value to customers through API-led connectivity and digital transformation solutions Your First Year at MuleSoft Exceed your ramped annual quota and create a strong pipeline for long-term growth Develop deep expertise in MuleSoft s integration platform, sales methodology, and product ecosystem Partner with global Sales Enablement to complete onboarding and continuous training programs Gain exposure to complex, high-value enterprise deals and build trusted client relationships Join a collaborative, inclusive, and mission-driven team committed to customer success Requirements & Qualifications 7+ years of B2B technology sales experience, preferably in middleware, integration, or enterprise software Proven success in closing large enterprise deals valued at $500K+ Strong track record of selling to C-level executives, especially in the public sector in India Demonstrated experience building a business in greenfield territory Strong consultative sales skills with a focus on delivering strategic business outcomes Excellent communication, negotiation, and stakeholder management skills A collaborative, team-first mindset and a passion for solving complex business challenges Bachelor s degree or equivalent experience (including leadership, military, or volunteer roles) MuleSoft is a Salesforce company with a mission to empower organizations to innovate faster and integrate smarter. Our unified platform connects apps, data, and devices, making digital transformation simple and scalable. Companies like Spotify, McDonald s, and Unilever trust us to enhance agility and drive business success. At MuleSoft, people come first. We re committed to building an inclusive, high-performing workplace where every individual is supported and inspired to do their best work. We ve been recognized as a #1 Top Workplace in the Bay Area and a Best Place to Work for six consecutive years. Apply now to become a part of a visionary team that s redefining enterprise integration and shaping the future of connected business. Qualification : Bachelors degree or equivalent experience (including leadership, military, or volunteer roles)

Senior Backend Engineer / Tech Lead Location: Gurugram, India Type: Full-Time Experience: 6 9 Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software platform for financial advisors. Our product suite powers lakhs of daily transactions and enables top financial advisors across the country to guide investors toward achieving their financial goals. If you're passionate about building scalable systems that impact millions, this is your opportunity to shape the future of investing in India. Role Overview We re looking for a Senior Backend Engineer / Tech Lead to join our growing technology team. You will lead backend development initiatives, work on performance-critical services, and contribute to designing highly available, scalable systems. You ll also mentor team members, lead system architecture efforts, and ensure that our platforms run reliably and efficiently. Key Responsibilities Team Leadership: Lead and mentor a team of backend engineers, review code, and ensure best engineering practices. System Design: Architect scalable, secure, and maintainable backend systems. Service Development: Build and maintain RESTful APIs using Node.js and Express.js. Performance Optimization: Ensure sub-second server response times and optimize backend performance. Database Management: Design and manage MySQL, with working knowledge of MongoDB and Elasticsearch data stores effectively. Cloud Infrastructure: Deploy and monitor cloud-based services; ensure system reliability and uptime. Messaging & Indexing: Implement messaging queues and indexing mechanisms for real-time data flows. Technical Communication: Present architectural designs, participate in sprint planning, and collaborate with cross-functional teams. Required Skills & Qualifications 6 9 years of backend development experience with expertise in Node.js, Express.js, and JavaScript. Strong background in system architecture, API design, and complex problem solving. Proficiency in MySQL, with working knowledge of MongoDB and Elasticsearch. Solid understanding of data modeling, caching, and asynchronous processing. Bachelor's degree in Computer Science or equivalent professional experience. Familiarity with DevOps tools, cloud environments, and CI/CD pipelines is a plus. Strong analytical, debugging, and performance tuning skills. Preferred Skills Experience with Python, Java, or additional backend languages. Knowledge of containerization tools (e.g., Docker, Kubernetes). Hands-on experience with message brokers (e.g., RabbitMQ, Kafka). Perks & Benefits 5-day work week with flexible timings. Group medical insurance coverage up to 3 Lakhs for all permanent employees. Fun, collaborative work environment with regular team activities. Complimentary consultations with financial planners for your personal financial journey. Resources and mentorship to help you get started with your own investments. At Investwell, you ll be part of a mission to make quality financial planning accessible to everyone. You ll work with a high-impact team, solve real-world scalability challenges, and play a key role in shaping the future of fintech in India. Qualification : Bachelor's degree in Computer Science or equivalent professional experience.

Backend Engineer Location: Gurugram, India Type: Full-Time Experience: 1 2 Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software provider for financial planners. We empower top advisors across the country to deliver smarter investment strategies by offering tools that help rebalance portfolios, execute high volumes of transactions, and track financial goals. If you're passionate about building tech that transforms the way people invest, we d love to have you on our team. Role Overview We are seeking a motivated and skilled Backend Engineer with a strong foundation in server-side development, API design, and system architecture. As part of our backend team, you will help design and build scalable systems that power critical components of our platform and drive financial decision-making for millions of investors. Key Responsibilities Develop and maintain robust RESTful APIs. Build dynamic, high-performance backend systems using modern frameworks and tools. Ensure high-speed, low-latency server response times. Design and implement various types of data stores relational, document-based, key-value, or graph. Integrate indexing systems and messaging queues as needed. Deploy, monitor, and maintain applications on cloud infrastructure (AWS, Azure, Heroku). Participate in technical design discussions and document solutions. Work closely with frontend developers and product teams to deliver features end-to-end. Required Skills & Experience 1 2 years of backend development experience. Proficient in Node.js, Express.js, and JavaScript. Solid understanding of MySQL, MongoDB, and Elasticsearch. Experience in database design and system architecture. Familiarity with modern web application architecture and cloud services (AWS, Azure, or Heroku). Basic understanding of Docker and containerized applications. Strong problem-solving and algorithmic thinking. B.Tech in Computer Science or equivalent practical experience. Nice to Have Exposure to other backend languages like Python or Java. Hands-on experience with messaging systems like RabbitMQ, Kafka, etc. Some DevOps experience or familiarity with CI/CD pipelines. Perks & Benefits 5-day work week with flexible timings. Free group medical insurance for permanent employees (coverage up to 3 Lakhs). Free consultations with certified financial planners for your personal financial journey. Expert guidance to kickstart your own investment planning. Regular fun activities and a collaborative work culture. As part of Investwell, you ll contribute to software that directly impacts how India invests. You'll gain hands-on experience in building scalable fintech systems, and work alongside experienced engineers and financial experts on industry-leading tools. Qualification : B.Tech in Computer Science or equivalent practical experience.

Senior Product Manager Location: Gurugram, India Job Type: Full-Time Category: Product Management About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is a leader in enterprise software for financial planners in India. We partner with top financial advisors to enable prudent financial planning for millions. Our product suite helps advisors rebalance investments, execute lakhs of transactions daily, and ensure clients meet their financial goals. Join us to be part of a company revolutionizing how millions invest. Key Responsibilities Understand and represent user needs effectively across product teams. Develop and continuously improve strategy for core product modules. Assess key problems the product solves and drive the product roadmap and lifecycle. Define a compelling vision for the product and align stakeholders around it. Prioritize features and capabilities in collaboration with product owners and cross-functional teams. Monitor market trends, gather customer feedback, and perform competitive analysis to inform product decisions. Lead large-scale product initiatives, ensuring alignment with business goals and customer needs. Required Experience & Skills Minimum 5 years of core Product Management experience, preferably in fintech. Proven success managing complex, large-scale product initiatives focused on financial transactions and multi-asset integrations. Strong technical acumen and ability to collaborate closely with engineering teams to deliver seamless user experiences. Exceptional analytical skills, adept at translating data into actionable insights. Excellent communication and stakeholder management skills. Experience working in fast-paced, agile development environments. Perks & Benefits 5-day workweek with flexible working hours and regular office events. Group medical insurance coverage up to 3 lakh for all permanent employees. Complimentary financial planning consultations tailored to your life stage. Support and guidance for starting or advancing your personal investment journey.

Job Title: Senior Data Engineer Location: Gurugram, Haryana, India Company: Builder.ai About Builder.ai At Builder.ai, we re transforming software development so that anyone regardless of technical expertise or budget can bring their software ideas to life. From startups to global enterprises like BBC, Makro, and Pepsi, we ve empowered thousands of customers around the world. With over $450M in Series D funding, including backing from Microsoft and QIA, and recognition from Fast Company as one of 2023 s Most Innovative Companies in AI, we are scaling rapidly and redefining what s possible in software and AI. Life at Builder.ai We believe in experimentation, ownership, and constant improvement. Our team of 800+ is spread across the globe but united by our shared HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. We reward your skills with: Stock options in a hyper-growth company International offsites Unlimited learning opportunities A culture that values diversity, innovation, and impact About the Role As a Senior Data Engineer, you'll be a foundational part of our growing Data & Analytics team. We're not just building pipelines we're engineering the data backbone for an entire platform that powers AI-driven software creation, operational intelligence, and customer solutions. This role will focus on building robust, scalable, and efficient data systems, and working with Data Scientists, Analysts, and Software Engineers to ensure our data infrastructure is best-in-class. What You ll Be Doing Own and operate end-to-end data pipelines across critical business domains Optimize compute, storage, and query performance using modern big data technologies Manage and evolve our CI/CD workflows and data infrastructure Improve data accuracy, integrity, and reliability for mission-critical datasets Collaborate with cross-functional teams (Analytics, AI, Product) to deliver business value Drive best practices in data engineering, architecture, and tooling Lead projects independently while clearly communicating with stakeholders on timelines and expectations Mentor junior data engineers and contribute to a strong data culture Must-Have Experience: Expert in ETL orchestration tools (e.g., Dagster, Airflow, Luigi) Proficient in SQL databases (e.g., Snowflake, PostgreSQL) Deep understanding of big data systems (e.g., Spark, Hadoop, Hive) Strong programming in Python Experience with DBT and data modeling best practices Deep experience with cloud platforms (especially Azure) Familiarity with streaming data systems (e.g., Kafka, Kinesis) Exposure to MLOps and experience delivering clean, usable datasets to AI/ML teams Experience with CI/CD and Agile environments Nice to Have: Background in ML infrastructure or knowledge graphs Experience working in product-led B2B/SaaS organizations Contributions to open-source data tools What You ll Get Quarterly discretionary performance pay Stock options in a $450M-funded scale-up 24 days annual leave + public holidays 2 Builder Family Days + Christmas/New Year break Fully covered private medical insurance Free lunch at our Gurugram HQ Referral bonus scheme Trips abroad and global collaboration Why You Should Join If you re ready to build world-class data systems that power AI at scale, and want to help shape how software will be built in the future this is your moment. Apply today and transform the way software is created one data pipeline at a time.

Job Title: Senior Product Manager SaaS & Logistics Tech | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Department: Product Management Industry: SaaS | Logistics & Supply Chain Technology Company: Shipsy About Shipsy Shipsy is a fast-growing global SaaS company transforming logistics and supply chain operations through intelligent automation and end-to-end visibility. Our platform enables enterprises to streamline freight and delivery management, optimize costs, and enhance customer experience all while driving sustainable logistics practices. We serve over 190+ global businesses, facilitating the movement of 2+ million shipments daily, and are rapidly expanding across the Middle East, Southeast Asia, and Europe. With regional headquarters in Dubai and strong momentum in revenue, team growth, and customer base, we are poised for continued global scale. Backed by top investors like Sequoia Capital and InfoEdge, our team consists of experts from institutions like MIT Media Lab, IITs, and top-tier companies like Microsoft, Samsung Research, and Morgan Stanley. Role Overview: Senior Product Manager As a Senior Product Manager, you will play a strategic role in shaping the roadmap and evolution of Shipsy's platform. You ll work cross-functionally with Engineering, Sales, Customer Success, and Design to define product vision, drive feature development, and deliver scalable logistics solutions that generate measurable impact for our enterprise clients. This is a high-impact position that requires a mix of business acumen, customer empathy, and a strong product mindset in the SaaS and supply chain domain. Key Responsibilities Own end-to-end product lifecycle from ideation to launch to iteration for core features of the Shipsy platform. Collaborate with customers and internal stakeholders to gather insights and define user stories, requirements, and acceptance criteria. Deeply understand customer workflows and business needs to ensure product solutions align with measurable outcomes. Drive platform adoption by designing intuitive, value-driven experiences that address pain points and unlock efficiencies. Prioritize features using data, customer feedback, and market trends to inform product strategy and decision-making. Work closely with Engineering to ensure timely and high-quality delivery of product features. Identify and track key performance metrics for product performance, adoption, and ROI. Serve as a customer advocate, proactively capturing feedback and channeling it into continuous product improvements. Requirements & Qualifications 4+ years of Product Management experience in SaaS, logistics tech, or enterprise software environments. Strong understanding of B2B workflows, supply chain processes, or logistics platforms. Exceptional analytical and problem-solving skills; ability to translate complex business needs into clear, executable solutions. Excellent communication and stakeholder management skills. A strong sense of ownership, curiosity, and passion for building scalable, customer-centric products. Bachelor s degree in Engineering, Computer Science, or Business; MBA is a plus. What Makes This Role Exciting Be a part of a high-growth company driving transformation in a trillion-dollar industry. Work alongside top-tier talent in a collaborative, agile, and innovation-focused environment. Influence the roadmap of a platform used by global leaders like Reliance, UPS, Zepto, DTDC, and Burger King. Access professional development programs, international mobility options, and unique employee perks such as a scholarship program. Join Us at Shipsy If you are passionate about solving real-world problems, influencing product direction, and working in a fast-paced, purpose-driven SaaS company, then Shipsy is the right place for you.

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

IT Operations Manager Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. What you ll do: We are looking for an IT Operations Manager to join our Corporate Technology team in Gurugram. The role involves working closely with other Specialists to direct and manage all operational activities related to IT Operations spanning across multiple office spaces and collaborate with key stakeholders across geographies to play an active role in monitoring and supervising the operations, ensuring the team members address the requests within the agreed Service level agreements by adhering to the defined processes. You ll play a pivotal role in supervising and managing a team of Specialists and oversee day-to-day operations to meet Service Level Agreements through optimum quality and service. Additionally, you ll need to demonstrate high proficiency in operations procedures, be proactive in communication, and define performance metrics for processes and individuals. You ll ensure effective and efficient working relationships between the team members, maintain a high level of morale and productivity and provide direction to the members on Operations. As an IT Operations Manager, you ll be responsible for monitoring end-user compute infrastructure and resolving system issues, manage installations, upgrades and configurations of both hardware and software, assess system performance, and recommend improvements, resolve or assist with issues escalated by Specialist, provide support and guidance to stakeholders, collaborate with other departments within the organization to resolve issues. You ll also need to lead and manage projects by setting timelines, defining deliverables, and ensuring alignment with business objectives. This includes analyzing reports and statistical data to assess productivity levels and identify root causes for underperformance, developing customized reporting to measure and track operational metrics, and overseeing key weekend initiatives such as user migrations to newer platforms, software and hardware upgrades, and audits. Additionally, you ll coordinate cross-functional teams, monitor progress, address risks and obstacles, and ensure successful project completion within scope, budget, and deadlines. What you ll need: The ideal candidate should have more than five years of experience preferably at a technology or financial firm. The candidate should have excellent computer skills including organizational and time-management skills and proven experience as IT Operations Manager. Experience in Project management for enterprise product implementation. Candidate should have experience with system & application installations, configuration and analysis and good understanding of policy, planning, and strategy. Candidate should have fair understanding of Windows platform and Cloud platforms like Azure. The following areas are preferred: Strong knowledge of designing and implementing office technical infrastructure. Proficiency in OS management and network administration, including TCP/IP, DNS, DHCP, VLANs, routing, and switching. Experience with Azure infrastructure, including Azure Virtual Machines, Azure Active Directory, Azure Networking, and Azure Security. Excellent leadership and team management skills, with the ability to motivate and develop a high-performing team. Relevant certifications (e.g., Microsoft Certified: Azure Administrator Associate, Cisco Certified Network Associate) are a plus. The ideal candidate should have the ability to oversee inventory requirements and forecast hardware purchases at regular intervals. Candidate should also have outstanding communication skills, leadership and organizational skills and ability to manage multiple projects and tasks at hand, problem-solving aptitude and assist with important strategy decisions w.r.t project planning and implementation. The candidate should be a self-starter who is structured, action-oriented, and has a sense of urgency, as well as being deadline-oriented and should have the ability to lead a team. Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics.

Job Description: Director of Engineering About MongoDB MongoDB empowers innovators to create, transform, and revolutionize industries by harnessing the power of software and data. We enable organizations of all sizes to build, scale, and manage modern applications by modernizing legacy systems, fostering innovation, and integrating AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With Atlas, customers can build and run applications anywhere on-premises or across multiple cloud providers. With a global presence and over 175,000 new developers signing up to use MongoDB every month, industry leaders such as Samsung and Toyota rely on us to develop next-generation, AI-driven applications. Role Overview MongoDB is seeking a visionary and strategic Director of Engineering to establish and scale a new engineering organization in our Gurugram office. This role will focus on building a high-performing team dedicated to developing software that enables MongoDB to run seamlessly on any infrastructure at a global scale. Our software and services empower users to deploy fault-tolerant, globally distributed MongoDB clusters in minutes. The primary objective is to enhance and expand our software for managing MongoDB clusters deployed in data centers or private cloud platforms. You will primarily work on Ops Manager and Cloud Manager products, serving enterprise users who deploy large-scale clusters and process massive amounts of data. Operating at the intersection of cutting-edge cloud technologies, distributed systems, and enterprise solutions, you will drive innovation and engineering excellence while delivering high-quality, secure software. This role is based in Gurugram as part of our hybrid working model. Ideal Candidate Profile Required Qualifications: Expert knowledge of enterprise-grade software solutions, with a deep understanding of challenges and best practices in managing complex systems in hybrid cloud and on-prem environments. 10+ years of experience leading software engineering teams, including managing multiple layers of leadership and building teams across distributed locations. Proven track record of defining and executing strategic product visions, mobilizing teams for impactful outcomes, and demonstrating strong ownership and accountability. Experience in building, evolving, and scaling enterprise or B2B software products, particularly in infrastructure management, distributed systems, or database operations, with a focus on performance, security, and reliability. Strong cloud-native expertise, including proficiency with Kubernetes, container orchestration, and modern DevOps practices, to design and deliver scalable and secure solutions. Excellent communication and leadership skills, with the ability to articulate complex technical concepts to diverse audiences, including global stakeholders and non-technical decision-makers. Commitment to fostering an inclusive and collaborative team environment, mentoring future leaders, and driving organizational growth and success. Proven ability to influence across the organization and collaborate with cross-functional teams to align engineering efforts with business priorities. Experience engaging directly with customers to understand their needs, gather feedback, and translate insights into actionable product improvements. Culture & Benefits At MongoDB, we prioritize the personal and professional growth of our employees by fostering a supportive and enriching work environment. From employee affinity groups and fertility assistance to a generous parental leave policy, we are committed to the well-being of our team members at every stage of their journey. Learn more about life at MongoDB and join us in making a meaningful impact on the world. MongoDB is an equal-opportunity employer committed to diversity and inclusion. We provide accommodations for individuals with disabilities throughout the application and interview process. If you require accommodations, please inform your recruiter. Join us at MongoDB and be part of a team driving innovation in the data space!

Position: Java Engineer - Studio Engineer Job Overview: At BlackRock, technology has always been at the core of what we do. Our technologists continue to shape the future of the industry through innovative solutions. As part of the Aladdin Data team, we focus on evolving our platform to deliver exponential scale, powering the future growth of Aladdin. The Studio Engineers at BlackRock build and design large scale data storage, computation, and distribution systems, working on next-generation technologies. About this Role: We are seeking Java engineers who enjoy innovating and tackling complex problems. You will be part of a multi-disciplinary squad, involved from the inception of projects, working on architecture, development, deployment, and maintenance of studio products and services. Engineers in this role will collaborate with product managers to deliver solutions that improve platform performance and scalability, all while maintaining a collaborative work environment and adhering to industry-leading standards. Responsibilities: Collaborate with program and product managers to expand product offerings based on business demands. Design, develop, deploy, and maintain studio products and services, while iterating on design processes. Drive user engagement and adoption while working towards improving platform performance and scalability. Work closely with various teams to ensure effective deployment and maintenance of the products. Provide production support for applications when necessary and troubleshoot complex performance issues. Create user documentation to maintain development and operations continuity. Contribute to the upkeep of UX and design standards in the studio. Required Qualifications: BA/BS in Computer Science or equivalent practical experience. 10+ years experience delivering medium to large scale enterprise solutions. Experience architecting and building scalable distributed applications. Proficiency in Java, Python, SQL, and Linux. Experience with Event Driven Architecture, Microservices, and Cloud technologies. Familiarity with object-oriented design patterns. Experience with dev ops tools like Git, Maven, Jenkins, Gitlab CI, Azure DevOps. Experience with Agile development methodologies and tools. Ability to troubleshoot and fix performance issues across codebases and database queries. Excellent written and verbal communication skills. Passion for learning and implementing new technologies in a fast-paced environment. Preferred Skills: Experience with Perl and C++. Familiarity with UI/UX stack. Experience supporting large-scale, complex analytics requirements. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model promotes collaboration and flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may have different requirements based on their roles and responsibilities. About BlackRock: At BlackRock, our mission is to help more people experience financial well-being. We are dedicated to investing in our employees and fostering an environment where colleagues feel welcomed, valued, and supported. Our employees contribute to global growth, helping strengthen businesses, finance infrastructure, and facilitate innovation. We offer development opportunities and benefits to help our employees thrive. Qualification : BA/BS in Computer Science or equivalent practical experience

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model enables a culture of collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. Certain business groups may require more time in the office due to their roles. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

Department Overview: Enterprise Data Governance & Platforms (EDGP) is a part of Enterprise Digital and Data Solutions (EDDS) and focuses on driving business growth and improving customer experience. EDGP achieves this by ensuring robust enterprise-wide data policies, governance, and a data-driven culture. It develops digital and data platforms that allow users to leverage enterprise-wide data capabilities and foster insightful customer relationships. Role Overview: The Product Owner Enterprise Data Platforms plays a crucial role in translating product strategies into detailed requirements for development by engineering teams. This includes managing product development for key enterprise data products such as the Big Data Platform (Cornerstone) and Google Cloud Platform (Lumi). The role requires collaboration with cross-functional teams to deliver innovative solutions while balancing business and technical requirements. Key Responsibilities: Product Development & Strategy Execution: Lead the product development strategy for key data platforms (Cornerstone & Lumi), ensuring they align with business objectives and the enterprise data strategy. Requirements Translation & Collaboration: Work with multiple stakeholders to convert product strategy into actionable requirements, including design, architecture, and prioritization across scrum teams. Mentoring & Leadership: Mentor product owners in eliciting user needs and aligning them with the product vision, while providing leadership and guidance to engineering teams. Solution Delivery & Feature Prioritization: Develop use cases, assess value, prioritize features and user stories, and ensure alignment with the product strategy. Program Management: Manage blocking issues, escalate problems when necessary, anticipate and balance business needs versus technical constraints, and resolve risks or changes associated with the Product Backlog. Continuous Improvement: Improve processes for operational excellence and ensure scalable solutions for data platforms. Collaboration with Cross-functional Teams: Work closely with engineers, architects, business partners, and governance teams to ensure the product meets business needs and technical requirements. Market & Tool Evaluation: Evaluate external tools and capabilities in data management, assessing their applicability to the platform. Required Qualifications: Education: Bachelor s or Master s degree in Information Technology, Computer Science, Information Security, Mathematics, Statistics, MBA, or a relevant field. Experience: 5+ years of experience in delivering business solutions across various platforms and technologies, including GCP, Big Data, PySpark, Hive, Scala, and Python. Technical Knowledge: Strong understanding of databases, SQL, data movement, APIs, and BI reporting. Agile Mindset: Experience working within a Scaled Agile Framework with an ability to adapt to new opportunities and changes. Cloud & Data Product Experience: Familiarity with Google Cloud Platform (GCP) and cloud services. Experience in data product development and implementation is preferred. Problem-Solving & Communication Skills: Strong communication, product management, and problem-solving abilities. Ability to think abstractly and address ambiguous or under-defined problems. Benefits & Perks: Competitive Compensation: Base salary with bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (dependent on location). Flexible Work Arrangements: Hybrid, onsite, or virtual work options, depending on the role and business need. Paid Parental Leave: Generous paid parental leave policies (dependent on location). Wellness Programs: Free access to global on-site wellness centers, confidential counseling support, and the Healthy Minds program. Career Development: Opportunities for career development and continuous training. Equal Opportunity Employer: American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Qualification : Bachelors or Masters degree in Information Technology, Computer Science, Information Security, Mathematics, Statistics, MBA, or a relevant field.

About the role: Global Sales Strategy & Operations (GSSO) is the team that helps shape Gartner's mission-critical sales priorities and works with sales leaders to drive tactical and analytical insights. As an associate on the GSSO team, you'll be at the forefront of the ongoing transformation of Gartner's sales force, which delivers approximately $4.9B in annual revenue and working to drive sustained double-digit growth. You will partner with business leaders across Gartner to support a global sales force comprised of more than 5,000 associates who sell to every major function, industry and market sector around the world. This role is part of the Territory Planning & Analytics (TP&A) team in GSSO. The TP&A team is focused on designing the optimal territory investment, design and alignment strategy to maximize Sales (and Services) productivity. The Principal Specialist will be joining the New Assignment Team. The primary objective of this team is to ensure that accounts are validated and routed to the appropriate sales representative based on secondary research into company firmographic data. The Principal Specialist is expected to partner with various key stakeholders like Marketing, Sales & Strategy Operation and Sales teams and improve their understanding of complex business problems from diverse perspectives. The individual will also be working on key initiatives, where they will be responsible for gathering business problems, seeking input from relevant stakeholders, and driving solutions. What you will do: Data Analysis and Reporting Support: Develop, track, and report various process metrics using MS Office tools, Power BI, Macros, etc. Ensure data integrity by identifying discrepancies and regularly updating datasets. Provide ad-hoc data requirements critical for business decisions. Manage data tools and internal applications including Anaplan, Excel, Power BI, CRM, etc. Business-Critical Account Assignment Operations: Support the leadership team in executing process changes and conducting related training sessions with the larger team. Drive high-complexity projects with minimal guidance. Independently own and execute assigned workstreams. Collaborate with leadership to establish and report performance goals that align with Sales & Strategy Operational goals. Develop and maintain tools, resources, and training materials, contributing to knowledge capture and documentation. Service Delivery: Understand key operational metrics of the account assignment process and support the team in delivering efficient and effective results. Understand sales and marketing strategies to assist with appropriate business decisions that drive team performance. Perform quality checks on account assignments based on defined routing logic and data sources, and identify improvement opportunities at both individual and process levels. Analyze the root cause of misassignments escalated by Sales or Marketing teams and problem-solve to ensure fixes. Communicate effectively and efficiently with Sales Managers and Sales Representatives, providing swift and accurate responses and resolutions. What you will need: An MBA or bachelor s degree with 4 years of experience. Relevant marketing/client management or service operations experience preferred. Strong Microsoft office skills, especially Excel and Power Point. Knowledge of Power BI/Macros is a plus. Proficient in English language and excellent in verbal and written communication A strong mix of Thought leadership and business acumen and demonstrated track record of delivering outstanding results. Must have continuous improvement mindset and experience in driving business critical initiatives in the current role. Must have the ability to work effectively and efficiently in a very fast-paced, deadline driven, fluid team environment. Ability to prioritize workload in order to manage time effectively, complete work within deadlines and produces accurate results. What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) Collaborative, team-oriented culture that embraces diversity. Professional development and unlimited growth opportunities Qualification : An MBA or bachelors degree with 4 years of experience. Relevant marketing/client management or service operations experience preferred.

The Team: Cappitech Enterprise provides Trade & Transaction Reporting services across various regimes for various asset classes, products & workflows. Our services enable financial institutions to do Reconciliation, Advanced Analytics, Exception Management and comply with regulatory requirements. With our processing services, buy-side and sell-side firms can optimize workflow efficiency and comply with new regulations. The Role: Cappitech Enterprise is seeking a Senior Business Analyst for Gurgaon, India in the Product Management team. The role is a critical part of our growth strategy for the region and focused on Regulatory Reporting solutions. What's in it for you: If successful the role will naturally expand into broader capabilities such as data, insights and analytics delivery to the Global marketplace. Responsibilities: Knowledge / experience in Regulatory Reporting or Trade & Transaction Reporting of OTC / ETD Derivatives is a must. Candidates who have worked on Regimes / Jurisdictions like CFTC, SEC, Canada, EMIR, FCA, MIFID II, ASIC, MAS, JFSA, HKMA, LBMA, South Korea would be preferred. A basic understanding of OTC & ETD derivatives terms and principals would be beneficial for the role Understanding of requirements elicitation, structured analysis, stakeholder management, use case definition and other Business Analysis techniques Understanding of ISO, FpML, XML Schemas, DTDs, XSL Transformation style sheets would be beneficial Able to produce structured analysis and design documents Able to work with Development during technical implementation phase & QA during testing to ensure implementation meets design and requirements Oversee Sanity, Component testing & review of Test Plans Able to conduct public presentation of concepts and ideas comfortably Able to identify options for potential solutions, including assessment of technical and business suitability Able to work collaboratively and consistently with team members at all levels, peers, senior analysts and managers and complex stakeholder group across geographical boundaries Able to work creatively, propose ideas and contribute to working groups and team meetings What We're Looking for: Bachelor or master s degree in business administration, technology, or similar discipline 5-12 years of relevant professional experience Prior Financial Services IT experience would be essential. Strong Analytical & Communication skills. Good Knowledge of requirements elicitation, structured analysis, requirement documentation, stakeholder management, use case definition and other Business Analysis techniques Exposure to SQL, DB, Object-oriented languages (general technology know-how), ISO 20022/XML/FpML/JSON/CSV would be desirable. Familiarity with OTC derivatives, clearing and regulatory reporting of OTC transactions would be beneficial Personal Competencies: Personal impact Self-directed and highly motivated individual Strong interpersonal skills Excellent oral and written communication skills Team player Ability to work under pressure Communication Excellent communicator in written and spoken English Excellent interpersonal skills Negotiation skills Teamwork Partner with distribution and delivery teams in different geographical locations About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. Qualification : Bachelor or masters degree in business administration, technology, or similar discipline

Job Description You will: Define strategies and act to generate long term and short-term customer success and business results. To exceed quarterly sales targets by selling On-Premises Technology software and Oracle PaaS/IaaS into named accounts and/or within an assigned geographical or vertical market. Own the entire sales process to ensure delivery against key performance metrics, with a strong emphasis on new business sales, while growing existing accounts. Territory identification and research, to formalize a go to market territory strategy and build a qualified pipeline within 90 days. Pipeline development through a combination of use case development and industry knowledge/intelligence. Adequate pipeline to ensure over-achievement within the designated territory. Engage with prospect organizations to position the Oracle solution through value-based selling, case definition, return on investment analysis, references, and analyst data. Handle the end-to-end sales process through engagement of appropriate resources such as Pre-Sales Consultants, Business Development Consultants, Oracle Consulting, Executives and Partners etc., and through effective utilization of selling tools such as Engineered selling process (ESPs), Customer 360, etc. Daily update of Oracle Sales Cloud system with accurate customer and pipeline data. Accurate forecasting and revenue delivery. Continuous improvement in self-research, learning and readiness on the new product offerings Career Level - IC4 Responsibilities Primary job duty is to sell technology software products and related services in a defined territory. Identifies, qualifies and closes new opportunities. Handle accounts including the entire sales process from business development prospecting and specifications through contract negotiations, signing, and post-sales support. Leverages the Oracle sales model to improve revenue growth and increase local market share. Builds and expands business partner revenue and self-sufficiency! We also look for: Shown experience (12-15 years) in selling enterprise software solutions or services to Government/Public Sector customers. Successful history of net direct new business sales, with the ability to prove consistent over achievement against targets. Ability to build reciprocal relationships with different parts of the business, partners and customers and identifies alignments across LOBs and acts on opportunities to integrate business, with credibility at all levels, including Lines of Business and CxOs. Validated understanding of the IT industry Cloud landscape and market. Proficiencies in building value proposition and positioning strong proposals. Strong listening skills with confirmed ability to communicate across all levels and optimally adapts to multifaceted situations. Be creative with strong problem-solving skills and the ability to adapt and succeed in a fast paced and ambiguous environment. Confirmed ability to work well as part of an extended sales team. Life at Oracle and Equal Opportunity An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to thrive in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.

Job Title: Solution Engineer Connectivity Platform Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial leads the way in advancing the vital work of farmers and builders worldwide. Our innovative products, from alternative power sources to precision technology, support feeding and sheltering a growing global population. Join a global, collaborative team dedicated to driving customer success through innovation. Job Purpose The Solution Engineer will provide technical leadership and people management to lead product development for the Connectivity platform, supporting IoT platforms such as Azure IoT Hub and ThingWorx. This role involves coordination across internal teams, program managers, and external partners to deliver scalable, secure engineering solutions that meet organizational goals. Key Responsibilities Develop a strategic technical vision and roadmap aligned with market needs and stakeholder objectives. Lead design and management of scalable, secure technical solutions aligned with business strategy. Align product architecture with vision and goals; evaluate technology options and lead decision-making. Collaborate with development teams to deliver features on schedule, adhering to CNHI standards and policies. Provide detailed technical specs and time/effort estimates; ensure non-functional requirements (performance, security) are met. Monitor development progress and communicate status updates to stakeholders. Identify and resolve project constraints, risks, and technical challenges. Facilitate cross-functional collaboration through clear frameworks and coordination. Architect and oversee integration of IoT platforms (Azure IoT Hub, ThingWorx) with enterprise systems. Guide development of secure, real-time, data-intensive IoT applications focusing on telemetry, edge computing, and data streaming. Experience Required 12+ years of industry experience, including 3+ years in a Solution/Enterprise Architect role. Strong foundation in software architecture and engineering principles (OOP, RESTful APIs, Design Patterns). Skilled in business analysis, stakeholder collaboration, and strategic technology planning. Expertise in security, encryption, API design, integration patterns, data architecture, messaging systems, and async programming. Experience developing RESTful APIs using OpenAPI specifications. Proven experience with Microservices architecture, Docker, and Kubernetes. Hands-on experience with Microsoft Azure cloud services and PaaS components. Performance tuning and application optimization skills. Expertise in IoT integration including device provisioning, edge connectivity, data ingestion, and telemetry. Technical Skills Languages & Frameworks: C#, ASP.NET Core, LINQ, JavaScript, HTML5, Angular, Java Authentication & Security: Azure AD, OAuth 2.0 (JWT), SSL/TLS Databases: SQL Server, PostgreSQL, Cosmos DB Caching: Azure Redis Cache Cloud & DevOps: Microsoft Azure (AKS, Blob Storage, Key Vault, APIM, Event Hub, Service Bus, Functions), Azure DevOps, Terraform, Git, GitLab Monitoring: Application Insights, Datadog, ELK Stack IoT Platforms: Azure IoT Hub, ThingWorx Messaging & Streaming: MQTT, Azure Event Hub, Service Bus Topics Testing & Automation: NUnit, xUnit, K6, PowerShell, Python Preferred Qualifications Bachelor s or Master s degree in Computer Science, Computer Engineering, or a related field. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Comprehensive savings and retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility, and family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial where your skills drive innovation and build the future. Qualification : Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field