Programmatic Platforms Jobs in Mumbai

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Assistant Manager Optronics & Computing Platforms (Hardware Design) Location: Mumbai Experience: 6 10 Years Education: B.E. in Electronics Engineering Job Summary: We are seeking a motivated and technically proficient Assistant Manager Hardware Design to join our Optronics & Computing Platforms division in Mumbai. The role focuses on hardware design, development, testing, and qualification of electronics systems for defense applications. This includes analog and digital circuit design, as well as microprocessor/microcontroller-based hardware development. Job Purpose: To contribute to the end-to-end design and development of electronic hardware systems for high-performance defense and optronics projects, ensuring compliance with stringent technical and environmental standards. Key Responsibilities: Design & Development: Design analog and digital circuits including microcontroller/microprocessor-based systems Develop schematics using OrCAD, Altium, or similar EDA tools Select, codify, and document components in accordance with project and lifecycle requirements Testing & Validation: Conduct functional testing and validation of physical prototypes Support environmental and EMI/EMC testing to ensure compliance with defense standards Product Documentation & Integration: Create comprehensive product lifecycle documentation Design and prepare module-level and system-level cable harnesses Collaborate with cross-functional teams during integration, testing, and qualification phases Required Skills & Competencies: Technical Know-How: Expertise in PCB schematic capture and hardware design Familiarity with layout review tools and design practices Solid understanding of communication protocols: UART, USB, Ethernet, I C, SPI Basic knowledge of computer hardware and peripherals Soft Skills: Strong problem-solving and analytical skills Detail-oriented with a structured approach to design and documentation Ability to work independently and collaboratively in cross-functional engineering teams Qualification : B.E. in Electronics Engineering

Business Development Specialist AdExchange Location: Mumbai, Maharashtra Industry: IT Services / Digital Advertising Job Type: Full-time | Experience: (0 1 year experience) Who We Are: Vertoz (NSEI: VERTOZ) is an AI-powered MadTech and CloudTech platform offering innovative solutions in Digital Advertising, Marketing, Monetization (MadTech), Digital Identity, and Cloud Infrastructure (CloudTech). We serve businesses, digital marketers, advertising agencies, digital publishers, cloud providers, and technology companies. What We re Looking For: A smart, enthusiastic Business Development Executive with up to 6 months of experience in customer service or sales, ready to support client growth and build relationships in the fast-paced digital advertising space. Key Responsibilities: Client Servicing (60%) / Business Development (40%) via emails and web chats. Communicate confidently with international clients. Build and nurture long-term client relationships. Conduct initial business discussions, follow-ups, and handle basic negotiations. Maintain organized records and reports using MS Office tools. Coordinate with internal teams to ensure client satisfaction and deliverables. Requirements: 0 6 months of experience in customer service or sales. Bachelor s degree in BCom, BBA, BMS (Marketing), or any related stream. Excellent communication (written & verbal) and interpersonal skills. Proactive, go-getter attitude with strong analytical thinking. Comfortable working late evening hours to cater to global clientele. Detail-oriented and organized, with good memory and reporting abilities. Perks & Benefits: No dress code Flexible working hours 5-day work week 24 annual leaves Global exposure Regular team outings & celebrations Work in a fast-growing, innovation-driven company Get hands-on experience in one of the fastest-growing sectors digital media and ad tech while building global exposure and collaborating with a highly passionate team. Qualification : Bachelors degree in BCom, BBA, BMS (Marketing), or any related stream

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.

Manager/Senior Manager Ad Sales (Paytm Money) Location: Mumbai, Maharashtra Department: Paytm Ads Business Team Employment Type: Full-Time | On-Site About Paytm Paytm is India s leading mobile payments and financial services platform, pioneering digital transactions through innovation. With a mission to bring half a billion Indians into the formal economy, we provide seamless financial solutions to millions of users and merchants across the country. About the Role We re seeking an experienced and highly motivated Ad Sales Leader to drive advertising revenue for Paytm Money through the Paytm Ads platform. In this key leadership role, you'll be responsible for identifying new advertising partners, working closely with agencies and brands, and expanding our advertiser base across various verticals. Key Responsibilities Own the full sales cycle: Prospect, pitch, negotiate, and close deals with agencies, advertisers, and brands (from startups to established players). Develop long-term strategic partnerships with key accounts and media agencies to drive consistent revenue growth. Manage and grow existing client relationships by identifying upsell and cross-sell opportunities. Build and execute a robust sales pipeline in line with monthly, quarterly, and annual targets. Coordinate with internal teams (product, marketing, analytics, legal) to align on campaign delivery, account needs, and service-level execution. Advocate for clients and partners, offering creative, data-driven ad solutions and leveraging Paytm s large and diverse user base. Contribute to strategic planning, process improvements, and new monetization ideas to enhance business outcomes. Ensure timely reporting, forecasting, and adherence to SOPs across accounts. Minimum 5+ years of experience in digital ad sales, online marketing, media buying, or ad tech. Demonstrated ability to build strong client relationships and close high-impact deals. Strong understanding of the digital advertising ecosystem, including performance, branding, programmatic, and media buying trends. A proven track record of achieving revenue targets and contributing to organizational growth. Strong communication, negotiation, and analytical skills. Strategic thinker with a solution-first mindset and creative approach to driving results. Ability to manage multiple stakeholders and deliver under pressure in a fast-paced environment. Work with one of India s largest fintech platforms and shape the future of fintech advertising. Engage with a massive user base of 500M+ registered users and 21M+ merchants. Collaborate with top-tier brands and agencies across industries. Be part of a high-impact, data-driven ad tech team driving transformation. Competitive salary, performance-linked incentives, and leadership visibility.

Principal Engineer Location: Mumbai, India (roles in Andheri East and / or Turbhe) Description We re hiring a Principal Engineer to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding 1.8 billion, and boasts total portfolio sales of over 500 million. The role We re hiring Principal Engineers and Lead Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across Blenheim Chalcot portfolio businesses. These are great opportunities for someone who thrives in hands-on build mode, demonstrates high-impact leadership, and who can scale delivery without losing speed, quality, or ownership. As a key member of our Software Engineering team, you will be instrumental in leading, designing, developing, and deploying robust and scalable products. You will work in close collaboration with customers and cross functional teams in Mumbai and London, to deliver product-led delivery and solutions that really make a difference. Behaviours that we look for Rigorous problem-solving and systems thinking. Decomposes complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures. Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start. Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring. Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery. Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact. Key responsibilities Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include: Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement. Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines. Provide technical guidance and expertise to the team, promoting best practices in engineering. Collaborate with cross-functional teams to understand requirements and deliver effective solutions. Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture. Ensure data integrity and quality across various data sources. Support data-driven decision-making by providing clean, reliable, and timely data. Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data. Conduct exploratory data analysis to uncover patterns and trends. Identify opportunities for process improvement and drive continuous improvement in operations. Stay updated on industry trends, technologies, and best practices in engineering. Opportunity This role offers an excellent platform for experienced engineers to take their career to the next level. You will have the opportunity to make a significant impact on our product roadmap, contribute to scaling our technical capabilities, and work in a dynamic environment that values innovation and continuous learning. About you We are seeking to onboard candidates with a proven track record in engineering, demonstrating strong technical leadership skills and a passion for building high-quality, scalable products. Excellent teamwork, adaptability, and a strategic mindset are essential to being successful in this role. The Ideal Candidate Professional experience in engineering or full-stack software engineering. Proven experience in managing and developing junior engineers. Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java. Extensive experience with database systems, including SQL and NoSQL databases. In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.). Experience with CI/CD practices for data solutions. Proven ability to take ownership over outputs and drive complex data projects to completion. Highly adaptable and comfortable working in ambiguous, problem-solving environments. Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales. Excellent communication, leadership, and collaboration skills. Process We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with a member of our Talent Acquisition team, followed by a meeting with representatives from BC's Engineering Centre of Excellence. Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

DevOps Engineering Analyst Location: Mumbai, India Overview of Technology Roles At BlackRock, technology has always been at the heart of everything we do. Our technologists shape the future of the industry through innovative work. We foster a curious and collaborative environment, embracing experimentation to solve complex challenges. Here, you ll experience cross-team, cross-business, cross-region collaboration with a firm committed to your growth through curated learning, tech career paths, and access to global experts and leaders. Job Description About this Role: The Quotative Analytics Engineering (QAE) team is responsible for developing and maintaining financial models that underpin BlackRock s risk management analytics. The team also supports the infrastructure and software that deliver analytic content to portfolio and risk management professionals internally and externally. QAE s work spans various financial products from equities and fixed income to derivatives and covers risk analysis from individual instruments to entire portfolios and enterprises. Key Responsibilities Manage and automate the monthly release process for the Analytics Engine. Refactor and rewrite existing release scripts and develop new scripts to streamline automation. Convert critical Perl scripts to Python, collaborating with distributed teams across different time zones. Skills & Qualifications 1-2 years of professional experience writing robust, object-oriented Python code. Exposure to CMake and CI/CD pipelines is desirable. Knowledge of DevOps practices and tools, particularly Azure DevOps, is a plus. Familiarity with a programming language like C++ (preferred), as programming is central to daily operations. Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences clearly and simply. #EarlyCareers Our Benefits We offer a wide range of benefits designed to keep you energized and supported, including a strong retirement plan, tuition reimbursement, comprehensive healthcare, working parents support, and Flexible Time Off (FTO) so you can recharge and be present for what matters most. Our Hybrid Work Model BlackRock s hybrid model promotes collaboration and apprenticeship while supporting flexibility. Employees generally work at least 4 days a week onsite, with the option to work from home 1 day a week. Some teams may require additional office presence due to specific role needs. This approach boosts impactful in-person moments and accelerates learning and onboarding for new hires. About BlackRock At BlackRock, our mission is to help more people achieve financial well-being. Our clients save for retirement, education, homes, and businesses. Their investments also fuel economic growth, support small and large businesses, finance infrastructure projects, and drive innovation. This mission depends on our greatest investment our employees. We strive to create a welcoming, valued, and supportive environment through networks, benefits, and development opportunities that help our people thrive.

Job Title: Media Planning Manager Reports To: Head of Media Location: Mumbai Major Roles & Responsibilities: Ad Account Creation: Responsible for the creation and management of client ad accounts. Business Objective Alignment: Understand client business objectives and guide the team on how to align media strategies to meet those objectives. Pitching New Business Avenues: Identify potential new business areas and proactively pitch them to the client in collaboration with the Head of Media. Platform & Media Plan Selection: Review and select the best platforms for campaigns based on client marketing objectives. Ensure that the media plan aligns with the benchmarks set by the buying team. Client Communication: Share the media plan with clients and make necessary revisions based on client feedback. Third-party Coordination: Coordinate with the internal team to secure the best possible rates from third-party vendors and suppliers, when required. Estimate Sharing & PO Management: Once the media plan is locked, share estimates with the accounts team to raise the Purchase Order (PO). Ensure that work doesn t commence without the PO. Campaign Monitoring & Guidance: Ensure that campaigns begin on time, monitoring their performance and guiding the team on optimal strategies. Industry Benchmarking: Use analytics tools like Google Analytics, SimilarWeb, and SEMRush to benchmark performance against industry standards. Team Management & Hiring: Participate in team recruitment, decision-making, and training new joiners. Ensure that they are familiar with the company's processes and ways of working. Media Estimate Tracker: Ensure the Media Estimate Tracker and Revenue Trackers are up to date. Target Achievement & Reporting: Strive to meet assigned targets, track progress, and prepare monthly media-related reports in line with set goals. Skills Required: Strong Communication Skills: Ability to effectively communicate with internal teams and clients. Time Management & Attention to Detail: Strong organizational skills and attention to detail to ensure timely and accurate media plan execution. Analytical Skills: Problem-solving attitude and the ability to interpret data to inform decisions. Proficiency in Analytics Tools: Knowledge of tools like Google Analytics, SimilarWeb, and SEMRush for industry benchmarking and campaign analysis. E-Commerce Ad Platforms Knowledge: Familiarity with Amazon Ads and Flipkart Ads for running and optimizing e-commerce campaigns. Leadership & Team Management: Proven ability to lead and manage teams, making decisions related to hiring, mentoring, and team performance. Schbang offers an exciting, fast-paced environment with opportunities for growth and learning. You'll be part of a team that drives innovation and creativity across diverse brands and industries. If you're looking to make an impact and be part of a forward-thinking company, Schbang is the place for you!

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

Position Title: Senior Software Engineer Position Summary: We are seeking a highly skilled Senior Software Engineer with a strong background in Java or the MERN stack (MongoDB, Express.js, React.js, Node.js). The ideal candidate will have 4-6 years of hands-on experience in developing and maintaining applications, and will play a key role in designing, developing, and deploying software applications. The Senior Software Engineer will collaborate with cross-functional teams to create scalable and efficient software solutions. Key Responsibilities: Software Development: Design, develop, and maintain large-scale software applications using Java or the MERN stack. Collaboration: Work closely with cross-functional teams to define, design, and implement new features. Design Ownership: Take ownership of high-level and low-level designs for each software application. Code Reviews: Conduct code reviews and provide constructive feedback to team members to ensure code quality and best practices. Performance Optimization: Troubleshoot, debug, and optimize existing applications for performance and scalability. Mentorship: Mentor and guide junior developers, helping them grow their skills and contributing to team knowledge. Stakeholder Collaboration: Work with product managers and other stakeholders to understand requirements and deliver optimal solutions. Continuous Learning: Stay up to date with new technologies and trends, acquiring certifications as needed to meet project demands. AI/ML Exposure: Any exposure or experience with AI, ML, or Data Science will be an additional advantage. Required Skills and Qualifications: Proficiency in Java/MERN Stack: Strong experience in designing, developing, and maintaining software applications using Java, Python, or Node.js. Front-End Development: Expertise in React.js (knowledge of Angular is an added advantage). Database Knowledge: Experience with RDMS (Oracle, SQL Server, Postgres) and NoSQL databases like MongoDB. Web Technologies: Proficiency in HTML, CSS, JavaScript, and front-end frameworks. Open-Source Technologies: Extensive experience working with open-source technologies. DevOps & Cloud Knowledge: Well-versed in DevOps practices, cloud deployment (AWS, Azure), and cloud PaaS. Database Management Tools: Knowledge of database management tools like Liquibase or Hibernate is preferable. Version Control: Familiarity with Git and containerization tools like Docker. Software Development Lifecycle: Strong understanding of software development lifecycle processes and methodologies. Communication Skills: Excellent written and verbal communication skills to collaborate effectively within teams and with stakeholders. Cross-Functional Teamwork: Ability to work effectively in a cross-functional environment. AI/ML Advantage: Exposure to AI/ML frameworks (e.g., Keras, Pytorch, Scikit-learn) is a plus. Statistical & Mathematical Modeling: Knowledge of statistical analysis and mathematical modeling concepts is a plus. Education and Experience: Bachelor s Degree in Computer Science, Information Technology, Electronics, Communication, or related fields. Candidates with a degree in other branches of engineering but with proven skills through past experience/projects are also encouraged to apply. Additional Information: Experience Level: 4-6 years of relevant experience in software development. Certifications: Willingness to acquire certifications in new technologies as required by projects. Qualification : Bachelors Degree in Computer Science, Information Technology, Electronics, Communication, or related fields.

About Us At Quantiphi, technology is the foundation of our business, but our true strength lies in our global and diverse culture. We take pride in fostering an environment built on transparency, diversity, integrity, continuous learning, and growth. If you re looking for a workplace that encourages innovation and supports your growth both professionally and personally Quantiphi is the perfect fit for you. Role & Responsibilities As a Looker Developer, you will play a key role in building and maintaining data models, developing impactful visualizations, and ensuring optimal performance of our Looker platform. You will collaborate with stakeholders to transform complex data into actionable insights, empowering teams to make data-driven decisions. Key Responsibilities: Create and maintain LookML code to define data models, dimensions, measures, and relationships within Looker. Develop reusable LookML components to streamline and standardize dashboard creation. Design and customize dashboards with effective data visualizations (charts, graphs, etc.) to present insights clearly. Write complex SQL queries to extract and manipulate data as needed, optimizing for performance. Identify and resolve performance bottlenecks impacting report and dashboard loading times. Optimize Looker performance through query tuning, caching strategies, and exploring indexing options. Configure user roles and permissions to manage access and enforce data security best practices (including row-level and field-level security). Leverage Looker APIs, SDKs, and the extension framework where necessary to build custom solutions. Use version control tools like Git to manage LookML code changes and collaborate with development teams. Provide training and support to business users, enabling them to effectively leverage Looker for their analysis needs. Troubleshoot and resolve technical issues related to data models, reports, and dashboards. Skills & Experience Required Hands-on experience with LookML and a strong understanding of Looker s data modeling framework. Strong SQL skills with the ability to write and optimize queries across different SQL dialects (preferably GCP/BigQuery). Knowledge of data modeling best practices and practical experience in building efficient data models. Proficiency in ETL processes for data transformation and preparation. Ability to design visually compelling and user-friendly dashboards within Looker. Performance tuning expertise, including query optimization, caching strategies, and indexing. Familiarity with related tools such as BigQuery, Apache Spark, and Python for data transformations. Strong analytical and problem-solving capabilities. Knowledge of data governance principles to ensure data quality, privacy, and compliance. Excellent understanding of advanced Looker features such as liquid variables, complex derived tables, caching, and PDTs (Persistent Derived Tables). Strong troubleshooting skills to identify root causes and effectively resolve issues related to data modeling, queries, and dashboards. Willingness to stay updated with the latest features and advancements in Looker and data analytics. Nice to Have Experience creating end-to-end documentation for data models, processes, and reports. Familiarity with cloud platforms (GCP, AWS, or Azure) and their data ecosystems. Exposure to advanced scripting for automation and monitoring within the BI environment. If you re excited about working in a fast-paced, collaborative environment with a team of enthusiastic over-achievers, Quantiphi is the place to be!

Job Title: Full Stack Java Developer Location: Mumbai Experience: 7+ years Company: MSCI About MSCI: At MSCI, we power better investment decisions by delivering critical decision-support tools and services to the global investment community. With over 50 years of expertise in research, data, and technology, MSCI helps clients understand risk, improve transparency, and build more effective portfolios. Our innovative, high-performance culture encourages experimentation, accountability, and continuous learning. We actively foster inclusion, belonging, and connection through diverse Employee Resource Groups and flexible working arrangements, empowering every employee to thrive. Your Role: We are looking for a highly skilled Full Stack Java Developer to join our Corporate Events and Dividends data management team in Mumbai. You will play a pivotal role in designing, building, and maintaining cutting-edge data solutions that support critical financial processes. This is an exciting opportunity to collaborate with global IT and business teams, applying your technical expertise to solve complex problems, optimize performance, and contribute directly to MSCI s innovative products. Key Responsibilities: Design and develop robust, scalable, and high-performance solutions for data management systems. Collaborate closely with global IT and business teams to understand requirements and translate them into technical solutions. Write and optimize complex SQL queries for high-volume data processing in Oracle or other relational databases. Lead and contribute to technical discussions with senior engineers, architects, and business stakeholders. Build responsive and intuitive web interfaces using TypeScript and frameworks like React, Angular, or Vue. Implement and manage concurrent, multi-threaded systems while addressing potential challenges in such environments. Ensure adherence to best practices in object-oriented design, memory management, performance tuning, and system architecture. Develop RESTful APIs to facilitate seamless data exchange across platforms. Drive code quality and performance optimization through effective reviews and hands-on problem-solving. Take full ownership of deliverables, working both independently and collaboratively in a diverse, global team. Skills & Experience Required: Minimum 7 years of hands-on experience in Java development, with a focus on object-oriented design and multi-threaded applications. Strong expertise in Spring framework, JMS, and core Java technologies. Solid experience working with relational databases (preferably Oracle) ability to write complex SQL queries and perform SQL performance tuning. In-depth understanding of Java internals, including data structures, memory management, garbage collection, and concurrent programming. Experience building responsive user interfaces using TypeScript and frameworks like React, Angular, or Vue. Experience working in a UNIX environment is highly desirable. Familiarity with cloud technologies (Azure/AWS) is a strong plus. Experience with REST API development. Strong analytical mindset with exceptional problem-solving skills. Ability to communicate effectively and work seamlessly in a collaborative, global team environment. Preferred Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (First class preferred). Alternatively, a Master s degree (MCA/M.Tech) is also acceptable. What We Offer: Transparent and competitive compensation. Comprehensive benefits tailored to your location. Flexible work arrangements and cutting-edge technology. Global Orientation Program and continuous learning opportunities through Learning@MSCI and LinkedIn Learning Pro. Clear, multi-directional career paths that foster professional growth. A culture of high performance, innovation, and inclusion supported by Employee Resource Groups such as Women in Tech, Pride & Allies, All Abilities, and more. Join us at MSCI and become part of a global team that drives innovation and creates industry-leading solutions. Qualification : Bachelors degree in Computer Science, Information Technology, or related field (First class preferred).

About MSCI MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, MSCI powers better investment decisions by helping clients understand key drivers of risk and return. We deliver industry-leading research-enhanced solutions that empower clients to improve transparency across their investment processes. Job Description We are seeking a Full Stack Java Developer to join our dynamic software development team in Mumbai. The selected candidate will have the opportunity to design, build, and maintain cutting-edge data management solutions for Corporate Events and Dividends, with a strong emphasis on technical excellence and business acumen. Your Team Responsibilities Core Java Development: Write and maintain robust, high-performance Java applications using the Spring framework. Relational Database Expertise: Work with Oracle databases, design complex SQL queries, and optimize performance to process large volumes of data that support critical business processes. Business Acumen: Leverage a strong understanding of financial concepts, particularly reference data related to equities and other asset classes. Web Development: Implement web interfaces using Typescript and frameworks like Angular, React, or Vue. Technical Leadership: Lead discussions with technical experts and business stakeholders, driving solutions that align with business goals. Concurrent Systems: Work in a multi-threaded environment, addressing potential issues related to concurrency and scalability. Your Key Responsibilities Independent & Team Work: Collaborate with global IT and business teams, taking ownership of projects and working independently when required. Multi-threaded Application Development: Develop scalable, multi-threaded enterprise applications that handle large-scale, concurrent data processing. Database Performance: Use JDBC, SQL tuning, and stored procedures to enhance database performance and handle complex data queries. System Design: Design and develop systems with in-depth knowledge of Java memory model, garbage collection, and data structures. Web Interface Design: Create user-friendly interfaces using Typescript and modern frontend frameworks (Angular, React, or Vue). Cloud Exposure: Work with Cloud technologies (Azure / AWS) to support scalability and modernize system architecture. Skills and Experience That Will Help You Excel 1. Java Development: At least 7 years of hands-on experience in Java, including object-oriented design and multi-threaded development. Strong expertise with Spring, JMS, and core Java technologies. 2. Relational Database Expertise: Deep experience with Oracle databases, including writing and optimizing complex SQL queries and stored procedures. Knowledge of database performance tuning techniques and best practices. 3. Frontend Development: Proficient in Typescript and at least one of the following frontend frameworks: React, Vue, or Angular. 4. System Design & Performance: Expertise in designing scalable systems and handling Java memory model, concurrent data structures, and garbage collection. Solid understanding of RESTful APIs and modern authentication protocols. 5. Cloud & Infrastructure: Familiarity with Azure or AWS technologies. 6. Additional Skills: Experience working in a Unix environment. Strong sense of ownership, and ability to collaborate and lead technical discussions within a diverse, global team. What We Offer Compensation & Benefits: Competitive compensation, comprehensive employee benefits tailored to your location, and a focus on your financial, health, and overall well-being. Flexible Working: Enjoy flexible working arrangements, advanced technology, and collaborative workspaces. Learning & Development: Access to Learning@MSCI, LinkedIn Learning Pro, and other tailored learning opportunities for continuous growth. Career Growth: Multi-directional career paths, offering internal mobility and professional development. Inclusive Culture: A workplace that embraces diversity and inclusion with access to employee resource groups such as Pride & Allies, Women in Tech, and Climate Action Network. Global Network: Work alongside a talented network of colleagues across the globe, contributing to impactful solutions. Equal Opportunity MSCI is an equal opportunity employer committed to diversifying its workforce. We provide reasonable accommodations for individuals with disabilities during the recruitment process and ensure a workplace free of discrimination.

Company Overview Mondel z International is a leading global snacking company with iconic brands like Oreo, Cadbury, and Toblerone. The company s mission is to lead the future of snacking, creating delicious moments of joy for people around the world. As part of Mondel z's dynamic Digital Solutions team, this role will offer an exciting opportunity to drive innovation through AI, data, and analytics. Role Overview As a Data Scientist within the Mondelez Digital Solutions team, you will play a critical role in developing cutting-edge AI and GenAI solutions that will empower the US Sales & Planning teams. This role focuses on leveraging Analytical AI algorithms and Large Language Models (LLMs) to create actionable insights and transform commercial reporting processes. You'll work closely with multiple teams to implement these solutions and continuously improve the reporting and decision-making capabilities of the organization. How You Will Contribute 1. AI and GenAI Model Development Design, develop, and deploy Analytical AI models (e.g., linear regression, decision trees, boosted trees models) to gather insights related to customers, brands, categories, and products. Implement anomaly detection algorithms (e.g., isolation forest) to identify anomalies in commercial data and alert teams about significant changes. Utilize Large Language Models (LLMs) to summarize the current business state and explain trends in the data, supporting the commercial reporting team. 2. Data Preparation and Utilization Oversee the extraction, preparation, and utilization of large datasets for model training and validation, ensuring the data is clean, accurate, and relevant for AI model development. Continuously update and refine the AI/GenAI solution with new data sources and features to enhance business insights. 3. Collaboration and Implementation Work closely with cross-functional teams to ensure smooth deployment of AI and GenAI capabilities into the company s commercial reporting dashboards. Collaborate with stakeholders to ensure the tools meet business requirements and deliver high-quality insights. 4. Reporting and Documentation Regularly report on the achievements and challenges of the AI tools to senior management and relevant stakeholders. Maintain detailed documentation of AI models, GenAI solutions, logic, and performance metrics, ensuring the business can leverage insights effectively. 5. Continuous Improvement and Innovation Stay up to date with the latest trends in AI and GenAI and integrate new advancements into the reporting system to improve its efficiency and effectiveness. What You Will Bring 1. Required Skills & Experience Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or related fields. Strong analytical and critical thinking skills with the ability to translate complex data into actionable business strategies. Proficiency in handling large datasets using Python and SQL. Strong knowledge of data visualization tools such as Tableau and Power BI. Experience with cloud platforms (e.g., Google Cloud, Azure, Databricks) for deploying AI solutions. Experience with data preprocessing, cleaning, and ETL processes. Familiarity with Natural Language Processing (NLP) techniques. Knowledge of recent advancements and trends in GenAI and a passion for continuous learning in this field. 2. Additional Skills (Good to Have) Working knowledge of syndicated data (e.g., Nielsen/IRI or other retail sales data sources). Proficiency in using data containerization and orchestration tools for maintaining complex data workflows. Experience with programming languages like PySpark and R. Experience in leveraging Large Language Models (LLMs) to build GenAI solutions or proofs-of-concept. Experience with frameworks like Langchain for building language applications. Relocation and Support Within-country relocation support is available. For candidates voluntarily moving internationally, minimal support is offered through the Volunteer International Transfer Policy. Qualification : Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.

Role Overview Mondel z India is looking for a strategic, digital-savvy Ecommerce Consumer Experience Manager (Media Manager) to lead eCommerce media initiatives and drive growth across various product categories. In this role, you will develop media strategies, optimize media spend, and collaborate with cross-functional teams to execute successful eCommerce media campaigns. The position requires leadership in digital marketing with a particular focus on eCommerce. Key Responsibilities 1. Ecommerce Media Strategy: Develop and implement eCommerce media strategies aligned with global principles and local business objectives. Optimize media spend to maximize ROI and drive growth across Mondelez's diverse categories (e.g., Chocolates, Biscuits, Beverages). 2. Portfolio Management: Manage multiple categories, balancing media spend to ensure optimal results. Continuously analyze and adjust campaigns based on performance metrics to enhance ROI. 3. Campaign Optimization: Work with media agencies to optimize eCommerce campaigns across platforms. Leverage performance data to drive campaign adjustments and improvements. 4. Collaboration: Work closely with cross-functional teams including Marketing, Sales, eCommerce, Customer Marketing, Legal, Finance, etc., to ensure smooth execution of media campaigns. Engage with brand, omni-channel, KAMs, and creative teams to develop and implement media plans. 5. Digital Leadership: Stay ahead of digital trends, particularly in the eCommerce space, to keep Mondelez s digital capabilities cutting-edge. Lead the integration of first-party data from eCommerce platforms to enhance digital strategies. 6. Subject Matter Expert: Serve as the go-to expert for eCommerce media, influencing decisions across regional and global levels. Provide thought leadership on eCommerce media and digital marketing strategies. What You Will Bring Experience: 8+ years of media expertise, with a strong focus on eCommerce and digital marketing. Extensive experience managing large CPG portfolios and expertise in media analytics. Prior experience in agency management and working with e-commerce marketplaces, including Quick Commerce platforms. Strong cross-functional collaboration with external partners, regional, and global stakeholders. Skills: Experience in media buying, analytics, and eCommerce best practices. Ability to drive a test-and-learn mentality and scale successful initiatives. Excellent communication skills, both verbal and written, with the ability to influence at all levels. Strong strategic and operational balance in a matrixed organization. Mindset: A bias for action, with the ability to execute and lead in a fast-paced, digital-first environment. Process management experience ensuring well-executed brand initiatives and effective collaboration. Additional Information Location: Mumbai, India. Relocation: Within-country relocation support available. For international moves, some minimal support is offered through the Volunteer International Transfer Policy. Why Join Mondel z India? At Mondel z India, you'll have the opportunity to lead digital innovation in the snacking industry. With a diverse and inclusive work culture, you will be empowered to shape the future of eCommerce media, drive growth across iconic brands, and make a significant impact within a global organization. Qualification : 8 plus years of Media expertise with a strong focus on E-commerce and Digital marketing.

Meta is seeking a Client Solutions Manager (CSM) to join our Marketing Solutions team - working across India's largest digital marketing platforms, Facebook, Instagram & WhatsApp. The CSM will work with large eCommerce advertisers, who are operating multi-channel, and combine a focus on performance & brand marketing on the Meta platforms. We are looking for a strategic and enthusiastic solution-driver who puts customers at the core of everything. This person has a passion for marketing, and firm belief that the future of marketing is AI powered, data-driven and grounded in measurable outcomes to drive help India's leading eCommerce companies achieve their business outcomes. The CSM is responsible to drive ad revenue across Meta platforms, by constructing strong digital marketing plans and using data and analytics to offer consultative advice for India's largest eCommerce companies. Client Solutions Manager, Ecommerce Responsibilities Work with brands to understand their business objectives and develop the Meta strategy in partnership with the Client Partner, which will constitute building on insights, crafting media plans, page strategy, creative and measurement recommendations Build key stakeholder relationships both internally and externally, and be seen as a key influencer in shaping product roadmaps, platform strategy and the overall Meta narrative Provide dedicated account management to top clients, to develop, manage, optimize, and support strategic account plans, and leverage data to create business solutions for clients Develop vertical expertise, including industry research and perspective, to drive overall business objectives and marketing solutions for advertisers Media Planning, Strategy, and Measurement: Manage planning, execution, ongoing reporting and optimization of campaigns (oversee budget spend, manage internal analytics and dashboards, provide optimization and real time targeting recommendations) Project Management: Manage complex work streams to optimize marketing objectives for clients. Manage Analytics and dashboards to advise clients Partnering with cross-functional teams in measurement, product, SME's to deliver to client requirements Minimum Qualifications 4+ years of experience in performance marketing and/or account management roles OR Expertise in the eCommerce industry across other business/category/P&L roles Knowledge of online and traditional advertising and/or eCommerce business Analytical skills, experience producing and interpreting data-sets on which to deliver actionable insights, which can be confidently presented to external clients Experiencing developing and managing cross functional partnership as well as client relationships in complex and rapidly evolving environment Experience operating effectively in an ambiguous and unstructured environment to rapidly upskill, prioritize and deliver outcomes Effective and creative problem solving and decision making skills Preferred Qualifications Understanding of Digital Marketing, Technology, and accompanying Meta advertising solutions eCommerce Industry experience Experience in ad tech/online marketing technologies and understands how to implement them for an effective and efficient marketing strategy About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to [email protected]. Qualification : 4+ years of experience in performance marketing and/or account management roles OR Expertise in the eCommerce industry across other business/category/P&L roles

Role Summary We are currently seeking a talented Data Scientist specializing in Campaign Effectiveness Analysis to join our dynamic team. The ideal candidate will be instrumental in advanced modeling, twinning, imputation, and analytics, focusing on supporting Campaign Effectiveness accounts and projects. Key Responsibilities Conduct causal inference, including hierarchical modeling, difference-in-differences, and using controls, with expertise in longitudinal design. Apply Machine Learning skills for imputation and quick drivers analyses. Familiarity with Campaign Effectiveness data and database, including an understanding of the unique methodologies required for this design. Execute modeling tasks in R for complex analyses. Utilize SPSS for ad hoc exploratory data analysis. Proficient in SQL for data retrieval, manipulation, and database creation across multiple studies. Perform static annual norms calculations efficiently, with knowledge of post-curve completion code. Contribute to institutional knowledge regarding normative standards, cleanup processes, and consequences. Execute data pulls for curves using SQL, ensuring alignment with normative standards. Manage years of curves in an R-based application involving thousands of curves. Join curves to an adjustment file through modeling. Conduct all procedures and cleaning in R, recognizing the time-intensive nature of replicating processes. Qualifications Education: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, or related field. Competencies Desired Proven experience as a Data Scientist, preferably in Campaign Effectiveness or Market Research domain. Expertise in causal inference, machine learning, and SQL. Proficiency in advanced R program for modeling and analytics. Experience with SPSS for data exploration. Strong understanding of data governance and database management. Qualification : Bachelors or advanced degree in Data Science, Statistics, Computer Science, or related field.

Senior Manager Business Development Location: Mumbai Job Summary We are looking for an experienced and driven Senior Manager Business Development to join our high-growth FMCG/Fintech organization in India. This role will focus on driving business growth through effective channel marketing strategies, strategic partnerships, and market expansion initiatives. You will work closely with internal teams and external partners to strengthen brand presence, accelerate sales, and build scalable distribution networks. Key Responsibilities Develop and implement channel marketing and business development strategies aligned with overall business objectives. Identify, onboard, and manage strategic partners including brands, eB2B platforms, cash-and-carry players, distributors, and retailers. Build and maintain strong relationships with existing channel partners through regular engagement and performance reviews. Conduct market research and analyze consumer insights, competitor activity, and industry trends to identify growth opportunities. Collaborate with cross-functional teams (sales, product, marketing, and operations) to execute marketing campaigns and go-to-market initiatives. Develop channel-specific marketing assets such as product collateral, sales presentations, and training materials. Track and evaluate channel performance using sales data, ROI metrics, and market share analysis. Stay informed about industry trends and regulatory developments impacting the FMCG and Fintech sectors. Design innovative partner programs, incentives, and loyalty initiatives to drive engagement. Requirements Bachelor s degree in Marketing, Business Administration, or a related field; MBA preferred. Minimum 5 years of relevant experience, preferably in FMCG, Retail, Telecom, eB2B, or Fintech industries in India. Strong strategic, analytical, and problem-solving skills. Excellent communication and presentation skills with the ability to influence stakeholders. Proven ability to manage multiple projects simultaneously in a fast-paced environment. High level of ownership, self-motivation, and a results-oriented mindset. This is an exciting opportunity to play a pivotal role in shaping channel and business development strategies in a fast-evolving FMCG/Fintech landscape. Join us to drive growth, build impactful partnerships, and contribute meaningfully to our expansion journey. Qualification : Bachelors degree in Marketing, Business Administration, or a related field; MBA preferred