As the India Enterprise Data & Analytics (D&A;) Stream Manager, you will be responsible for managing the delivery of advanced analytics and data science products cross-functionally in India (with a primary focus on sales). The ideal candidate will have experience in delivering products with clear business outcomes, and a strong background in data science, supporting end-to-end design of data science applications from solution workflows embedded with data science components, to MLOps operationalization and production deployment. They should come with a consulting mindset, translating complex business challenges into analytical hypotheses and scalable solution designs. This role is expected to work with various parts of the Data & Analytics organization, external partners, multiple functional teams, as well as Business leaders to successfully deliver the products and solutions assigned to them as part of the advanced analytics and data science agenda for Mondelz India.

How You Will Contribute

- Collaborate with cross-functional teams including business stakeholders, data and platform engineers, and product managers to understand key business problems and translate them into data science and/or advanced analytics opportunities.
- Own the end-to-end lifecycle of advanced analytics and data science products within the portfolio - from business problem framing and hypothesis formulation, through solution design, solution & model development, testing & learning, to industrialization and MLOps.
- Translate business challenges into formal data science and/or solution hypotheses,



working collaboratively with business teams to ensure alignment between business needs and technical approaches.
- Collaborate with DevOps and MLOps teams to establish and govern operational standards for model deployment, monitoring, retraining, and lifecycle management.
- Deliver Test & Learn (T&L;) initiatives for new capabilities based on business needs with clear paths to production. Partner with product teams to bring successful T&L; outcomes to full industrialization.
- Stay up to date with the latest AI / ML trends, technologies and industry-wide applications & use-cases.

What You Bring

Must-Have

- 5+ years in Data Science and Advanced Analytics roles, with at least 2+ years in a consulting or business-partnering capacity.
- Relevant experience in Sales (RTM, RGM, etc.) and/or Supply Chain (Demand Forecasting, Supply Optimization, etc.) data science and advanced analytics capabilities
- Some experience as a D&A; Product Manager or in a hybrid product/data science role, with accountability for end-to-end delivery of analytics solutions.
- Strong expertise in the full data science lifecycle: hypothesis building, exploratory data analysis, model development, validation, deployment, and MLOps.




- Strong knowledge of machine learning and statistical modelling techniques in cloud-based environments (GCP, Azure, AWS).
- Experience designing and delivering solution workflows that embed data science modules within broader application architectures.
- Proficiency in programming languages such as Python, R, and Spark and experience with cloud platforms and services (e.g., BigQuery, Databricks, Cloud ML Engine, Cloud Storage).
- Solid understanding of data structures, algorithms, and software design principles.

Leadership & Soft Skills

- Strategic thinking with the ability to align product portfolio goals with broader D&A; vision and multiple stakeholders.
- Excellent communication and storytelling, simplifying complex data science narratives for diverse business audiences and translating business challenges into actionable data science hypotheses.
- Facilitation, influencing, and conflict resolution, hosting sessions to elicit ideas, understand stakeholder issues, and encourage group participation.
- Creative thinking and comfort with ambiguity, framing new concepts for business teams and brainstorming future products and services.
- Self-driven with high initiative, able to work with cross-functional teams in a fast-paced environment with adaptability to changing business needs.
- Agility, growth mindset, and teamwork across both business domain teams and D&A; teams.

Education

- Bachelor's or Master's degree in Computer Science, Engineering, Computational Statistics, Mathematics, or related field.

📌 Manager - AI & Data Science Products (Sales Analytics & MLOps) (Maharashtra)
🏢 Mondelez
📍 Maharashtra