Senior Manager - Data Science & AI

Function: Digital

Location: Bengaluru

Reporting To: Director- Data & AI Engineering

At Tata Consumer Products Ltd, we stand #Forbetter – Planet, Sourcing, Nutrition, Communities. And #ForBetter Opportunities …. Here’s an exciting one!

How does this Job align to our Strategy?

At the core of Tata Consumer Products' business approach lie six strategic pillars that serve as the foundation for its growth and success: Strengthen core & accelerate our growth business, Build on new opportunities, Drive execution excellence everyday, Create future ready organization, Drive Digital and Innovation and Embed Sustainability.

This job opportunity closely aligns with one of these key strategic pillars, which is  Driving Digital and Innovation. This role will  support the Data and AI lead in designing the architecture and scaling enterprise-grade data, ML, and AI platforms that directly enable TCPL’s business KPIs, margin expansion, and growth objectives and hence, will play an instrumental role in shaping the Data Science & AI journey at TCPL cutting across various business/functions.

Top dimensions:

Geography: India

Direct reports: 1

Complexity of the role (Optional):

Will this job require travel (Y/N): N

Matrix Reports: NA

Type of Role: People Manager

Primary Stakeholders (Optional): Delivery Teams & Business Operations

What are the Key Deliverables in this role?

Business & Financial Outcomes

• Develop and scale AI/ML and advanced analytics solutions that improve sales effectiveness, distribution reach, field-force productivity and commercial outcomes.
• Build efficient and scalable models, data pipelines and analytical workflows, ensuring reliable performance, cost effectiveness and measurable business value.

Business Partnership & AI Products

• Partner with Sales, Marketing, Category and Distribution teams to identify high-impact opportunities and translate business requirements into practical AI and analytics products.
• Enable faster, data-led decision-making through personalized AI recommendations, market intelligence, performance dashboards and actionable commercial insights.

Data Science & AI Engineering

• Lead the end-to-end lifecycle of AI/ML solutions, covering problem definition, data exploration, feature engineering, modelling, experimentation, validation, deployment, monitoring and continuous improvement.
• Build and scale solutions across areas such as recommendation engines, demand and propensity modelling, network expansion, outlet profiling, optimisation, Generative AI, voice AI and computer vision.
• Partner closely with Data Engineering and platform teams to establish robust MLOps/LLMOps practices, ensuring AI models are scalable, secure, observable and production-ready.
• Establish appropriate approaches for model evaluation, monitoring, retraining and responsible AI.

Generative & Agentic AI

• Explore and develop enterprise use cases leveraging Generative AI, LLMs, SLMs and agentic AI architectures.
• Lead the end-to-end build, deployment and adoption of AI/ML products across use cases such as recommendation engines, network expansion, outlet profiling, voice AI and computer vision.
• Collaborate with data engineering, digital delivery, product and external partner teams to deliver secure, scalable and reliable analytics solutions within agreed timelines.

Innovation and Learning

• Create a strong culture of rapid experimentation and learning, using prototypes and proofs of concept to validate business value quickly.
• Explore and apply emerging AI technologies, including Generative AI, voice AI, computer vision and machine learning, to solve evolving sales and distribution challenges.
• Drive rapid experimentation and learning through pilots and proofs of concept, scaling solutions that demonstrate strong adoption and measurable business impact.

What are the Critical success factors for the Role?

• 5+ years in Data Science, Analytics or AI/ML, with end-to-end solution deployment experience
• Strong expertise in machine learning, deep learning and advanced analytics.
• Experience translating business problems into scalable AI/ML products.
• Ability to lead cross-functional teams and deliver measurable outcomes.
• Mandatory Language Requirements (spoken), if any: NA

What are the Desirable success factors for the Role?

• Experience in FMCG, retail, sales or distribution analytics.
• Exposure to cloud platforms, ML/AI Ops and production-grade AI deployments.
• Familiarity with Generative AI, voice AI and computer vision.
• Strong stakeholder management and communication skills.

TCPL Growth Mindset and Behaviors

We are obsessed about keeping Consumers & Customers first in our hearts – that’s why we are here !

We are trailblazers in executing with Excellence … Together as One Team !

We take Ownership of our business …delivering value for our Stakeholders .. no Compromises !

We are Open to Continuously improving … Continuously innovating … For Better !

We live & breathe our Tata Code of Conduct

About Us: At Tata Consumer, we stand ‘For Better.’

Tata Consumer Products is a focused consumer products company uniting the principal food and beverage interests of the Tata Group under one umbrella. Our brands embody our purpose of ‘For Better ‘through the value they deliver to consumers with a focus on innovation, health and wellness, convenience and premiumisation. The Company’s portfolio of products includes tea, coffee, water, RTD, salt, pulses, spices, ready-to-cook and ready-to-eat offerings, breakfast cereals, snacks, mini meals, herbal supplements and vending business. Few of our key brands include Tata Tea, Tetley, Eight O’Clock Coffee, Tata Coffee Grand, Himalayan Natural Mineral Water, Tata Copper+ and Tata Gluco+, Tata Salt, Tata Sampann, Tata Soulfull, Organic India and Chings.  In India, Tata Consumer Products has a reach of over 200 million households, giving it an unparalleled ability to leverage the Tata brand in consumer products.

The Company has a consolidated annual turnover of ~Rs. 20,290 Crs with operations in India and International markets. For more information please visit www.tataconsumer.com