Senior Data Scientist FOR Startups Jobs in Gurgaon

Chief of Staff Location: Gurugram Experience: 5+ Years Job Type: Full Time Department: Founder s Office About Procol Procurement processes in over 80% of companies still rely on emails, Excel sheets, and phone calls, resulting in inefficiencies, delays, and cost leakages up to 20%. Procol is revolutionizing procurement by automating these manual workflows, making procurement ~50% more efficient, twice as fast, and delivering 2-10% cost savings. Founded in 2018, Procol s secure procurement platform is deployed at numerous $1B+ global companies, managing over $5Bn in spend. Rated 4.9/5 on G2 and featured by Forbes, Procol s team includes ex-Google NY, Zomato, and OYO professionals, backed by leading investors like Blume Ventures, Peak XV Surge, Beenext, and Rainmatter. Job Overview As Chief of Staff, you will be a critical partner to the founders and executive team, driving cross-functional initiatives that boost productivity and strategic execution. You will lead investor relations, coordinate business planning and OKR adoption, and spearhead new initiatives to sustain Procol s rapid growth. What You Will Do Investor Relations: Prepare board meeting materials, investor presentations, and business updates. Serve as the primary point of contact for existing and potential investors. Lead fundraising efforts including pitch preparation, market research, and due diligence management. Strategy and Operations: Advise the CEO on strategic business decisions. Lead annual operating plans (AOP), financial reviews, and fiscal health monitoring. Collaborate on setting and tracking OKRs and KPIs across teams. Drive a data-driven culture through rigorous performance analysis. Oversee daily operations and resolve challenges proactively. Design and improve organizational structure and address skill gaps. New Initiatives: Lead cross-functional projects with executive buy-in. Conduct market research to improve product positioning and competitiveness. Identify and develop new revenue streams. Own other strategic projects as assigned by the CEO. What You Bring 5+ years as a senior operator or Chief of Staff in a high-growth startup; experience in management consulting or VC/PE preferred. Background in B2B SaaS or US enterprise tech is a plus. MBA from a top-tier school preferred but not mandatory. Strong ability to drive alignment, influence without authority, and manage multiple projects with high attention to detail. Proven experience managing teams and coordinating cross-functional resources. Entrepreneurial mindset, high ownership, and accountability ideal for future founders. Why You ll Love Working at Procol Dynamic startup environment impacting thousands of businesses. Monthly advance salaries and comprehensive health insurance for employees and families. Free subscriptions to wellness and health services (PharmEasy, HealthifyMe, Lenskart, and more). Discounts on fitness, healthcare, and lifestyle services. Close collaboration with founders shaping a successful company.

Director Product Management Location: Gurugram Experience: 5-6+ years in Product Management, with 3+ years hands-on software development experience Job Type: Full Time About Procol Procurement processes at over 80% of companies still rely on emails, Excel, and phone calls causing inefficiencies, delays, and cost leakages of up to 20%. Procol transforms procurement by automating manual workflows, improving efficiency by ~50%, doubling speed, and delivering 2-10% cost savings. Founded in 2018, Procol s secure platform is trusted by $1B+ global companies, managing over $5Bn in procurement spend. Rated 4.9/5 on G2 and featured by Forbes, our team comprises ex-Google NY, Zomato, and OYO professionals. We are backed by investors including Blume Ventures, Peak XV Surge, Beenext, and Rainmatter. Role Overview As Director Product, you will drive the vision to simplify business for millions by building and scaling core procurement products and experiences. You will lead a team of product managers and collaborate with engineering, design, data science, and marketing to deliver impactful solutions. What You ll Do Define Product Strategy: Develop long-term vision and quarterly roadmaps aligned with company goals. Conceptualize Solutions: Use a problem-first, data-driven approach to identify and prioritize product ideas, balancing platform and long-term considerations. Lead Product Builds: Partner with engineering and design to deliver customer-loved products on schedule, creating detailed specs and managing product scope. Launch & Advocate: Plan go-to-market strategies alongside Product Marketing and serve as the internal and external product champion. Manage Stakeholders: Collaborate closely with senior leadership and cross-functional teams to align strategy with execution. What You ll Bring Strong customer-first and business-first mindset with solid technical understanding. Self-driven and proactive, able to thrive in a fast-paced, competitive startup environment. Analytical, data-informed approach with curiosity about metrics and macro trends. Exceptional problem-solving skills and keen attention to detail. Strong product sense with experience building products from 0 to 1. Minimum 5-6 years in Product Management and 3+ years in software development. Why You ll Love Procol Monthly advance salaries and comprehensive health insurance for employees and families. Free breakfast and snacks in the office. Subscriptions to wellness platforms like PharmEasy, Clove, HealthifyMe, Lenskart, and more. Discounts on fitness, healthcare, and lifestyle services. Fast-paced growth with impact across thousands of businesses. Close collaboration with an experienced founding team dedicated to building a great company.

Job Title: Computer Vision Researcher (3D) AI & Deep Learning | Spyne (Gurgaon) Location: Gurgaon, India | Work Mode: Full-Time, Onsite | Experience: 1 3 Years Keywords: Computer Vision Jobs India, Deep Learning Researcher, GAN Engineer, AI Research Jobs, ML Engineer, Generative AI Careers About Spyne Spyne is transforming the future of automotive retail with next-gen Generative AI. From AI-powered car visuals to a full-stack ecosystem for online vehicle commerce, we re enabling dealerships to create, price, and market inventory faster and smarter. Backed by $16M Series A funding from top VCs like Vertex Ventures and Accel Rapid expansion across the US and EU markets Achieved 5x revenue growth in 15 months aiming for another 3-4x in 2025 Leading the GenAI wave with AI-driven sourcing, pricing, CRM, and Agentic AI tools Role Overview: Computer Vision Engineer / Researcher We re hiring a passionate Computer Vision Engineer (3D) to join our Research & AI Product team. You ll work on state-of-the-art deep learning models especially GANs to develop and deploy scalable image processing and enhancement pipelines across automotive, e-commerce, food, and real estate domains. You ll play a pivotal role in building innovative AI-powered products that impact millions of images and videos, optimizing workflows for global businesses. Key Responsibilities Research & Experimentation Stay up to date with cutting-edge publications in AI, Computer Vision, and Deep Learning. Prototype innovative approaches from top-tier conferences (CVPR, NeurIPS, ICCV). AI Model Development & Deployment Train, fine-tune, and deploy models for image enhancement, segmentation, and classification using PyTorch/TensorFlow. Work on GAN Architectures Develop and optimize Generative Adversarial Networks (GANs) for image inpainting, background removal, super-resolution, and 3D scene generation. Scalable AI Infrastructure Collaborate with MLOps and Data Engineering teams to build robust AI pipelines on cloud platforms (AWS, GCP, Azure). Cross-Team Collaboration Work closely with Product Managers, Software Engineers, and Data Scientists to align AI capabilities with business goals. Mentorship & Guidance Contribute to a culture of innovation by mentoring junior researchers and participating in peer reviews. Requirements & Qualifications Education & Experience B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred) 1 3 years of hands-on experience in Computer Vision, AI model development, and Deep Learning Technical Skills Deep Learning Frameworks: Strong expertise in PyTorch or TensorFlow Generative Models: Proven experience with GANs for real-world use cases Programming: Proficiency in Python, plus experience in C++ or C# Image Processing Libraries: OpenCV, PIL, NumPy, Scikit-image Cloud Platforms: Hands-on experience deploying models on AWS, GCP, or Azure Research Mindset: Ability to implement novel ideas from AI research papers into practical solutions Soft Skills & Work Ethic Strong analytical and problem-solving capabilities Excellent communication and collaboration skills Comfort in a high-performance, office-first environment (5 days/week) Familiarity with Agile, Git, Jira, and collaborative development tools At Spyne, we empower careers not just fill positions. People-First Culture: Supportive team, open communication, and trust Career Acceleration: Fast growth with performance-based promotions and ownership opportunities Health & Insurance Benefits: Comprehensive GMC, GPA, GTLI coverage for employees and families Continuous Learning: Access to LinkedIn Learning, in-house mentorship, and AI research projects Work from Office Advantage: Real-time innovation, mentorship, and collaboration at our Gurugram HQ Competitive Salary + Equity: High-impact role with potential for stock options If you're excited to work on groundbreaking AI + 3D computer vision products, thrive in a startup environment, and want to shape the future of AI-powered automotive retail, we want to hear from you. Apply now and be part of Spyne s journey as we redefine how the world sees and sells cars! Qualification : B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred)

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: Growth Consultant Logistics SaaS | Gurgaon, Haryana Location: Gurgaon, Haryana Job Type: Full-time Industry: Logistics Technology | SaaS | Supply Chain Solutions Company: Shipsy About Shipsy Shipsy is a leading global SaaS company revolutionizing the logistics and supply chain industry through AI-powered solutions. In an industry worth trillions but still reliant on manual processes, our technology provides end-to-end shipment visibility, cost optimization, and enhanced customer experiences for some of the world s most renowned businesses. Our client base spans the Middle East, India, and Southeast Asia, and includes top-tier enterprises like Reliance, Domino s, Zepto, UPS Gulf, DTDC Express, Burger King, and Landmark Group. With over 3 million shipments processed daily, nearly 10% of India s container trade is tracked using our platform. Backed by global investors like Peak XV Partners, InfoEdge, and A91 Partners, we've raised $35M+ and grown to a 280+ member team across offices in Gurgaon (HO), Mumbai, Bangalore, and Dubai. Position Overview: Growth Consultant As a Growth Consultant at Shipsy, you'll act as a strategic advisor and customer success partner, helping clients realize the full potential of our logistics tech platform. You ll drive account growth by identifying new use cases, enhancing adoption, and ensuring clients achieve maximum ROI. This is a high-impact, consultative role requiring strong relationship-building, analytical thinking, and logistics domain expertise. Key Responsibilities Client Success & Relationship Management Build and maintain strong relationships with senior client stakeholders. Align client objectives with Shipsy s solutions to deliver business value. Conduct regular on-site visits to strengthen partnerships and understand evolving client needs. Growth Strategy & Account Expansion Analyze client usage and develop tailored growth strategies. Identify new use cases and encourage product adoption across departments. Lead strategic conversations that position Shipsy as a long-term partner. Customer Success Operations Serve as a trusted advisor by proactively addressing client challenges. Track KPIs and ensure timely adoption of new product features and enhancements. Monitor client performance metrics to ensure success outcomes are achieved. Upselling & Cross-Selling Identify upselling and cross-selling opportunities based on client goals. Collaborate with Sales and Product teams to facilitate renewals and expansion. Data-Driven Client Consulting Utilize data and analytics to deliver actionable insights and identify risks. Report on adoption trends, usage levels, and client engagement. Training & Enablement Deliver onboarding, training sessions, and resources tailored to client needs. Create customized enablement plans to help clients achieve faster time-to-value. Customer Advocacy & Feedback Act as the voice of the customer, communicating insights to Product and Engineering. Drive feature suggestions and improvements based on real-world use. Qualifications & Skills Bachelor s degree in Business, Sales, Marketing, or related field; Master s is a plus. 3+ years of experience in Customer Success, Account Management, or Consulting preferably in SaaS, Logistics, or Supply Chain tech. Proven ability to manage large enterprise accounts and foster long-term partnerships. Strong first-principles thinking and a strategic, problem-solving mindset. Familiarity with CRM tools and customer success platforms. Excellent communication, interpersonal, and organizational skills. Self-starter who thrives in a fast-paced, dynamic environment. Willingness to travel for client meetings and business reviews. Competitive compensation and performance-linked incentives. Access to world-class learning opportunities including a scholarship program. Collaborative, energetic, and diverse team culture built on innovation. Work alongside top talent from IITs, NITs, and global research institutions. Make a tangible impact in the digital transformation of global logistics. Join Shipsy and help leading global enterprises unlock their true potential through smart logistics technology. Qualification : Bachelors degree in Business, Sales, Marketing, or related field; Masters is a plus.

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.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

We are seeking a highly experienced Senior Snowflake Data Engineer to join our team. The ideal candidate will be responsible for designing and implementing robust data solutions within Snowflake, ensuring they are efficient, secure, and scalable. Responsibilities Engage in Snowflake data modeling to create and maintain optimized models tailored for data ingestion and analytical needs Develop and sustain ETL pipelines to consolidate data from diverse sources into Snowflake while preserving data integrity Fine-tune the performance of Snowflake deployments, optimize storage usage, and manage data partitioning for prompt and reliable data access Establish strong data security measures, implement role-based access controls, and apply data masking techniques to uphold data governance standards Leverage tools like dbt and Apache Airflow for scheduling and automating data processes and pipeline surveillance Cooperate closely with cross-functional teams including data scientists and business analysts to solve intricate data issues and carry out effective troubleshooting Create detailed documentation and reports on data architectures, ETL processes, and system operations to facilitate clear communication and knowledge sharing across the organization Requirements 5-8 years of experience in a data engineering role Background in information warehousing with AWS or Azure, utilizing DBT, Snowflake Proficiency in Python programming, workflow management tools including Argo, Oozie, or Airflow Snowflake modeling fundamentals like roles, schema, and databases Competency in data vault modeling, designing, and developing data transformation pipelines using DBT We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 5-8 years of experience in a data engineering role

Job Summary: Senior Application Specialist Location: Gurgaon, India Grade Level: 10 Department: Operations Group Company: S&P Global Market Intelligence Overview: As a Senior Application Specialist, you will play a pivotal role in delivering expert-level application support for thinkFolio, S&P Global s portfolio management software. You will be the primary liaison for troubleshooting and resolving client issues, maintaining service excellence, and contributing to documentation and process improvements. This role offers extensive cross-functional collaboration and interaction with global clients in the banking, asset management, and hedge fund industries. Key Responsibilities: Serve as a product expert for thinkFolio, offering technical and functional support to clients. Troubleshoot and resolve complex client issues efficiently, escalating when necessary. Manage incoming support requests, ensuring SLAs are met while maintaining clear communication. Document client issues, resolutions, and communication using internal support systems. Collaborate with global teams across business lines and senior management for knowledge sharing and resolution tracking. Contribute to the creation and maintenance of user manuals, troubleshooting guides, and knowledge base content. What You Bring: Education: Bachelor s degree in Computer Science, Information Technology, or related field. Experience: 5+ years in enterprise software support; experience in financial services or investment systems is preferred. Technical Skills: Proficiency in SQL, scripting languages, and data analysis tools. Soft Skills: Strong analytical, problem-solving, and communication skills. Ability to multitask and prioritize under pressure. Mindset: Customer-first attitude with an aptitude for learning new financial technologies and sharing knowledge. What s In It for You: Accelerated growth through exposure to enterprise software used by global financial institutions. Cross-regional collaboration and learning opportunities in a high-impact environment. Access to continuous learning, competitive compensation, wellness programs, and family-friendly benefits. The chance to be part of a global, inclusive organization driven by Integrity, Discovery, and Partnership. About S&P Global Market Intelligence: A division of S&P Global, we provide essential data, insights, and technology that enable clients to make confident decisions. We empower businesses to track markets, manage risk, and identify opportunities in a fast-changing global environment. Qualification : Bachelors degree in Computer Science, Information Technology, or related field.

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.

Job Title: Account Director | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Company: Shipsy About Shipsy Shipsy is a global leader in the logistics technology space, offering cutting-edge SaaS solutions that automate warehousing and transportation operations. Our platform helps businesses significantly reduce logistics costs, streamline workflows, and enhance customer experience. We work with renowned enterprises across India, the Middle East, and Southeast Asia, including major brands like Reliance, Domino's, UPS Gulf, DTDC Express, Burger King, and Landmark Group. Shipsy s platform processes over 2 million shipments daily, with 10% of India's container trade being tracked on our system. With backing from leading investors like Peak XV Partners, Infoedge, and A91 Partners, we ve raised approximately $35M to date. Our team is over 280+ members strong, spread across offices in Gurgaon, Mumbai, Bangalore, and Dubai. We re committed to building a fun, dynamic, and growth-oriented work culture, where every team member can thrive and make a meaningful impact. Role Overview: Account Director As an Account Director at Shipsy, you will play a key role in growing and nurturing our relationships with large global clients. You will take ownership of the P&L for critical accounts, ensuring we meet revenue targets, business success metrics, and customer satisfaction. Your role will involve strategic leadership, collaborating with cross-functional teams, driving projects that align with client goals, and providing insights to improve our products and services. As the main point of contact for high-level stakeholders, you'll help shape the future of our product while contributing to Shipsy s overall growth. Key Responsibilities Client Relationship Management Build and maintain strong relationships with CXOs and key decision-makers at large global accounts. Serve as the strategic advisor to clients, ensuring long-term value delivery from Shipsy s platform. Manage a portfolio of critical accounts, ensuring high customer satisfaction, retention, and business success metrics (NPS, revenue growth, etc.). Revenue Growth Achieve revenue targets by identifying new business opportunities and growing existing accounts. Drive the expansion of product offerings within existing accounts, ensuring clients are fully utilizing Shipsy s solutions to meet their logistics needs. Thought Leadership and Industry Insight Provide thought leadership by leveraging deep industry, product, and customer insights to build tailored solutions. Stay ahead of industry trends and bring back critical feedback to the product team to inform the roadmap and ensure alignment with customer needs. Cross-functional Collaboration Collaborate closely with product teams, engineering, and other stakeholders to deliver innovative solutions that address client challenges. Facilitate the implementation process, ensuring projects are executed on time and meet client expectations. Strategic Account Planning Lead strategic account planning sessions with clients, developing mutual performance objectives, financial targets, and critical milestones for short-term and long-term success. Oversee project management, ensuring timelines, schedules, and deliverables are met. Process Optimization Identify and implement best practices, tools, and resources to optimize the client management function and ensure successful project outcomes. Innovate new methods of analysis and strategies to improve client interactions and maximize value. Qualifications & Skills B.Tech from a Tier 1 School (preferred). Strong analytical skills, with the ability to solve complex problems using first principles thinking. Proven ability to collaborate cross-functionally and lead teams towards shared business goals. Excellent communication and interpersonal skills, with a talent for building relationships with senior stakeholders and CXOs. Strong business acumen with the ability to drive revenue outcomes, manage P&Ls, and contribute to strategic planning. Experience in managing large accounts and a deep understanding of SaaS or logistics tech industries. Problem-solving and data management skills, with a focus on delivering results and meeting client needs. Growth opportunities in a dynamic and rapidly expanding company. Work with top talent from premier institutes and companies. Innovative, supportive, and inclusive company culture where your ideas and contributions are valued. Competitive salary with performance-based incentives. World-class benefits and professional development programs to help you grow in your career. Become part of a global team at the forefront of logistics technology. Join Shipsy and contribute to transforming the logistics space while building a career filled with growth, innovation, and success. Qualification : B.Tech from a Tier 1 School (preferred).

Sr. Manager / Manager - Taxation Location: Gurugram, Haryana, India Employment Type: Full-time About ixigo ixigo is a leading travel-tech company in India that empowers travelers to plan, book, and manage trips across rail, air, buses, and hotels. Through cutting-edge technology like AI, machine learning, and data science, ixigo helps travelers make smarter travel decisions. The company has expanded through its acquisitions of ConfirmTkt and AbhiBus in 2021 and is now one of the Top 10 most downloaded travel apps globally (as per data.ai in 2022). Job Description As the Sr. Manager / Manager of Taxation, you will be responsible for overseeing and managing the company s tax strategy, ensuring full compliance with Indian tax laws and international regulations (where applicable). You will also focus on optimizing tax efficiency and driving proactive tax strategies to support business growth. This is a key leadership role where you will liaise with tax authorities, regulatory bodies, and cross-functional teams to ensure seamless tax operations. Key Responsibilities Tax Strategy & Compliance: Oversee the preparation and filing of Income Tax and GST returns to ensure compliance with Indian tax laws. Ensure timely and accurate filing of consolidated state, local income tax returns, and business-related filings. Develop and implement strategic tax planning across corporate and state taxes. Tax Audits & Reporting: Manage and facilitate income tax audits, preparing responses and creating schedules. Lead and ensure timely completion of tax audits, coordinating the gathering of information from the tax team. Monitor legislative and regulatory tax law developments and communicate their effects proactively to management. Process Improvement & Team Management: Identify and implement opportunities to streamline and improve tax processes within the company. Lead and mentor the tax team, fostering their professional growth and driving engagement to enhance team performance. Manage the preparation of tax computations for audits on a quarterly basis. Cross-Functional Collaboration: Liaise with various business teams to evaluate the compliance impact of new transactions and provide guidance to stakeholders. Review business contracts and suggest tax-related clauses that ensure good governance and compliance. Regulatory & Tax Planning: Stay ahead of changes in tax legislation and proactively adapt strategies to capitalize on tax-related changes. Provide support in statutory audits and other special tax projects. Qualifications Must-Have Skills & Experience Education: Chartered Accountant (CA) or equivalent professional qualification. Experience: A minimum of 6 years of experience in tax management, specifically in corporate, individual, or partnership taxation. Strong experience in e-commerce industry tax handling, especially in the context of Indian direct and indirect tax laws. Experience in handling tax for a listed company is highly preferred. Technical Skills: In-depth knowledge of tax compliance procedures for companies, particularly in income tax, GST, and state/local taxes. Strong analytical and research skills, with the ability to drive process improvements and implement best practices. Project Management: Ability to manage multiple tax-related tasks efficiently while meeting deadlines. Strong organizational and prioritization skills, both for managing tasks independently and overseeing team members. Collaboration & Communication: Strong ability to work with cross-functional teams and communicate tax strategies and their benefits to stakeholders. Strong communication skills, with the ability to explain complex tax issues to non-experts in a clear and concise manner. Key Behavioral Traits Leadership: Lead by example and mentor your team members to enhance their effectiveness and engagement in their roles. Detail-Oriented: An eye for detail and high standards of quality in all tax-related processes and deliverables. Adaptability: Ability to manage and thrive in a dynamic and fast-paced environment, with flexibility to adapt to regulatory changes. Career Growth: A chance to be part of a fast-growing company and contribute directly to its tax strategy. Collaborative Culture: Work in a dynamic, startup-like environment where collaboration and initiative are valued. Impactful Role: Play a critical role in shaping the tax strategy and compliance of a leading travel-tech company. Competitive Compensation: Competitive pay and benefits package.

Job Description: Vice President, Operations - Index & Data Solutions About the Team: The Index & Data Solutions (IDS) team at BlackRock is responsible for shaping and executing the firm s data strategy, overseeing relationships with data providers, and ensuring the smooth administration of market data services. The Operations team within IDS is looking for an experienced Vice President to lead a high-performing group of market data professionals in streamlining processes, managing contracts, and collaborating with multiple stakeholders to deliver exceptional operational excellence. As Vice President, you will play a key role in overseeing end-to-end market data operations, from contract administration to invoicing and payment management. You will work closely with vendors, relationship managers, internal teams, and BlackRock s finance function to optimize data operations, drive process improvements, and ensure the firm s market data needs are met efficiently and accurately. The ideal candidate will be a strategic and hands-on leader, passionate about performance, with experience in invoice operations management and process transformation. You should be comfortable interacting with senior internal and external stakeholders and possess strong problem-solving and data management skills. Key Responsibilities: Invoice Validation & Reconciliation: Review and validate invoices against the internal inventory of market data services. Research and resolve discrepancies to ensure accurate and timely invoice processing. Actively follow up with vendors and internal teams to resolve issues and ensure timely resolution. Financial Reporting & Analytics: Prepare reconciliations to explain differences between internal service inventories and vendor invoices. Develop and maintain accurate reports on index and market data usage for providers. Prepare financial analytics and reports for internal stakeholders to aid in decision-making. Process Improvement & Optimization: Identify opportunities for streamlining invoicing and data management processes. Use data insights to drive improvements and optimize operational efficiency. Contribute to the development of quality controls and continuous improvements in operational processes. Vendor & Stakeholder Management: Act as a key point of contact for invoice and payment-related inquiries from vendors and internal teams. Develop and maintain strong relationships with external data providers to ensure smooth contract administration and service delivery. Partner with BlackRock's Finance team to manage market data budget accruals and ensure accurate financial reporting. Team Leadership & Development: Lead and mentor a team of market data professionals, fostering a high-performance culture. Support the team in their growth, development, and delivery of market data solutions. Requirements: Experience: 5-8 years of experience in market data operations, invoice validation, or reconciliation. Proven track record of optimizing operational processes and implementing quality controls. Educational Background: Degree in Business, Commerce, or a related field. Technical & Analytical Skills: Proficiency in Excel and Microsoft Access; advanced skills preferred. Basic knowledge of financial markets and market data services. Strong analytical and problem-solving skills with an ability to translate complex issues into actionable solutions. Communication & Leadership: Excellent oral and written communication skills, with the ability to interact effectively with senior stakeholders. A self-starter attitude with strong organizational skills and the ability to handle multiple priorities while maintaining composure. Proven ability to lead and contribute to team performance in an inclusive and diverse environment. Our Benefits: To ensure you remain energized and inspired, we offer an array of benefits that include: Strong Retirement Plan and comprehensive healthcare options. Tuition Reimbursement to support your ongoing learning. Flexible Time Off (FTO), allowing you to recharge and spend time with loved ones. Support for working parents, including various family-related benefits. Our Hybrid Work Model: At BlackRock, our hybrid work model fosters collaboration and personal development. Employees are required to work in the office at least 4 days a week, with flexibility to work from home 1 day a week. This approach ensures effective team collaboration while offering flexibility in your work-life balance. About BlackRock: At BlackRock, our mission is to help people experience financial well-being by offering innovative investment solutions. We are committed to helping individuals achieve their financial goals from saving for retirement to funding education, buying homes, or starting businesses. Our clients investments play a crucial role in driving global economic growth, supporting businesses, financing infrastructure, and fostering innovation. Join us in making a difference in the world of finance and be part of an industry-leading firm.

Job Description Join us as a Markets Data Management Analyst In this role, you ll work on the static setup and maintenance of clients and standard settlement instructions. As a Markets Data Management Analyst, we ll expect you to act as a point of contact for queries, requests, and the facilitation of onboarding and trade execution for clients. You ll be working in partnership with internal and external stakeholders, allowing you to hone your communication skills and gain great exposure for your work. We're offering this role at senior analyst level. What you'll do You ll make sure that clear and unambiguous roles and responsibilities are agreed and seek out opportunities to engage with new and existing functions and learn new skills. We ll look to you to make sure that your stakeholders fully understand the global reference data strategy and agenda. And, you ll be managing the expectations of internal support functions with insight into client requirements and the development of business. Your responsibilities will include: Maintaining an understanding of the front-to-back client life cycle. Suggesting areas of improvement for daily processing and escalating these appropriately. Formulating plans that are delivered in line with agreed risk, cost, and time requirements. Acting as a point of contact for static data queries and requests. Driving the development, implementation, and regular review of policies and procedures and ensuring colleagues have adequate awareness and training. The skills you'll need We ll expect you to have strong experience in the financial services industry, with a specialism in reference data, client onboarding, or client exits. You ll need to have excellent analytical skills, with a structured and methodical approach when investigating data issues. Crucially, you ll have the ability to thrive in a fast-paced and rapidly evolving environment. You ll also need: Excellent communication and presentation skills. Strong interpersonal skills with the ability to build, maintain, and enhance relationships at all levels. Good Microsoft Office Excel, Word, and PowerPoint skills.

Position: Aladdin Data Client Experience (BCX) Team Member Overview: BlackRock Aladdin Data is responsible for maintaining data critical to the investment decision-making process for BlackRock and its proprietary Aladdin end-to-end investment platform. The team collaborates closely with Portfolio Management, Global Capital Markets, Relationship Management, Portfolio Compliance, Risk Analytics, Regulatory Reporting, and others to meet their data needs accurately, timely, and efficiently. BlackRock Aladdin Data operates under BlackRock s key principles: Innovation, Fiduciary focus, Passion for Performance, Emotional Ownership, and the unified purpose of One BlackRock. This philosophy is focused on creating value by understanding clients' needs and utilizing technology to develop innovative solutions. Key Responsibilities: Main Point of Contact: Serve as the subject matter expert in risk, returns, and attribution analytics for internal clients. Client Engagement: Conduct regular meetings with internal clients and ensure positive client sentiment. Project Leadership: Lead complex analytical projects, providing regular updates to senior internal and external partners. Optimization Efforts: Collaborate with internal partners to drive GP optimization efforts. Solution Development: Work with Aladdin Data Partners to build and implement solutions for custom processes. Reporting: Run client partner meetings to present Green Package Health, thematic issue analysis, and Aladdin Data service metrics. Knowledge/Experience: Bachelor s degree (or equivalent experience) in Finance, Economics, or a related field. 3+ years of proven experience in financial services with knowledge of markets, technology, operations, or business management. Strong communication skills with the ability to present complex concepts clearly to diverse audiences. Knowledge of financial products in Fixed Income, Equities, and Derivatives; familiarity with risk analytics such as Durations, Spreads, Beta, and VaR is a plus. Demonstrated project management and leadership skills in delivering large, complex projects. Proficiency in SQL, Linux, Unix. Strong interpersonal and time management skills with the ability to thrive in a fast-paced environment. High attention to detail. Our Benefits: We offer a range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) to help you relax, recharge, and take care of your loved ones. Our Hybrid Work Model: BlackRock s hybrid work model enables collaboration while supporting flexibility. Employees are required to work at least 4 days in the office per week, with 1 day working remotely. Some business groups may require more in-office presence due to role responsibilities. This hybrid model is designed to accelerate your learning and onboarding experience. About BlackRock: At BlackRock, we help people experience financial well-being by supporting their retirement, education, home purchases, and business ventures. The investments made by our clients strengthen the global economy, supporting businesses, infrastructure projects, and innovations. This mission is made possible by our investment in employees. We create an environment where colleagues feel welcomed, valued, and supported with networks, benefits, and development opportunities. Qualification : Bachelors degree or equivalent experience in Finance, Economics or related field is desired.

Description We re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good you ve come to the right place The Senior AP is responsible for selling the full portfolio of Success Cloud offerings to designated accounts. The AP must be a strategic thinker with exceptional enterprise, commercial, and cross-functional skills, demonstrate high energy, and have strong sales management experience. The AP is responsible for earning the right to be a trusted advisor to the customer, with the primary goal of helping customers generate significant business value from their Salesforce investment. This individual will be expected to understand and manage our customers throughout their lifecycle, driving adoption through sales activity for new and existing customers; this will include pipeline generation and delivering sales presentations to C-level clients. The primary measurement of success for this role will be YOY growth in overall services bookings and revenue. Responsibilities: Exceed CSG Success Cloud growth and bookings, ensure organizational health and customer satisfaction goals as a regional leader Utilize industry expertise and business acumen to understand a customer's motivation, business drivers, strategic goals and objectives, and desired business outcomes Engage customers, especially C-Level, using a consultative selling approach that positions Salesforce and yourself as a long-term trusted advisor relationship Create a compelling vision and clearly communicate our transformative solutions with the goal of generating significant success and business value from a customer's investment in the Salesforce Platform Develop and manage a territory plan and a personalized account plan for each customer, which aligns with their business goals. Forecast accurately and timely, build a pipeline and progress opportunities to deliver Success Cloud YOY revenue growth Form a strong relationship with the License Sales organization and regional Alliances/Partner organizations that are instrumental to success Be a recognized role model for collaboration, leadership and overall business results Preferred Qualifications & Skills: 15+ years of consultative sales experience with a proven record of consistently exceeding quota Of which, 5+ years experience selling and/or delivering professional services for a strategic consulting firm or large scale system integrator Demonstrated ability to develop and maintain C-level relationships where you are recognized as a trusted advisor Experience growing accounts with large and complex pursuits ($M+) Highly collaborative and excels in a complex, matrixed environment Team player with strong interpersonal skills Ability to thrive in a fast-paced, unpredictable environment

Company Overview: American Express is committed to providing the world s best customer experience every day. The Global Servicing Group (GSG) is central to fulfilling this mission, with over 36,000 team members working across various lines of business, including Customer Engagement, Merchant Services, Credit & Fraud. Within this structure, the Global Capacity & Contact Management (GCCM) team works towards optimizing resources and maintaining consistent customer service levels globally. Role Overview: The Planning & Data Intelligence (PDI) team within GCCM plays a pivotal role in supporting global reporting and analytics. This role involves automating, standardizing, and enhancing the reporting ecosystem to enable better decision-making through data-driven insights. The role will also involve creating a more efficient process for managing large and multiple data sets and collaborating with business partners to drive the future of reporting within the organization. Key Responsibilities: Define Data Architecture Strategy: Contribute to the development of the data architecture strategy and roadmap to enhance the PDI data ecosystem. Automation & Standardization: Analyze the current reporting structure within GCCM and work towards automating and scaling it through self-service functionalities, especially using Tableau. Reporting Innovation: Collaborate with internal partners to create new reporting dashboards within Tableau and other platforms, ensuring better self-service and efficiency. Analytics & Problem-Solving: Leverage your strong analytical skills to solve both practical and theoretical business challenges, applying machine learning, data mining, and statistical analysis techniques. KPIs & Performance Metrics: Develop and manage key performance indicators (KPIs) to promote efficiency, drive awareness, and improve reporting systems across teams. Reporting to Leadership: Provide on-demand reporting and insights to senior leadership, helping them make informed decisions. Dashboard Development & Adoption: Coordinate the development and testing of new dashboards, ensuring data validation and documentation. Assist in training teams to adopt these tools effectively. Innovation & External Research: Continuously seek new ideas and innovations from external sources to bring best practices into the team s work. Required Qualifications: Educational Background: Bachelor's degree or equivalent combination of education and work experience. Technical Expertise: Expert knowledge in VBA, SQL, Cornerstone, Hive, and Python. Familiarity with workforce management KPIs and Tableau for report building is a plus. Data Analysis & Manipulation: Experience using SAS, Big Data analytics, and statistical software for data analysis and manipulation. Problem-Solving & Analytical Skills: Strong ability to perform deep dive analyses of business metrics, providing actionable solutions and recommendations. Call Center Management Expertise: In-depth understanding of call center principles and how they impact operations. Adaptability & Communication: Ability to work in a fast-paced environment with changing demands, managing multiple tasks effectively. Exceptional written and verbal communication skills in English. Collaboration Skills: Strong interpersonal skills to collaborate and influence across different organizational levels and teams. 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 Working Arrangements: Hybrid, onsite, or virtual options depending on role and business needs. Paid Parental Leave: Generous paid parental leave policies (dependent on location). Wellness & Support Programs: Access to global wellness centers and confidential counseling support through the Healthy Minds program. Career Growth Opportunities: Continuous career development and training opportunities. 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 : Bachelor's degree or equivalent combination of education and work experience.

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