Tesco India Bengaluru, Karnataka, India Hybrid Full-Time Permanent Working hours 45 Apply by 24-Apr-2026
About the role
About the Data & AI Product Team
The Data & AI Product team develops and manages the data and AI/ML products that power intelligent decisions, personalisation, and actionable insights across Tesco. We partner closely with Customer (Insights, Marketing, Group functions), Finance, Commercial and Technology teams to enable scalable, high quality data capabilities across the business.
In this role, you'll contribute to building and improving a suite of customer data products - including insights datasets, segmentation capabilities and audience filters - used across the organisation to better understand and engage our customers.
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What is in it for you
At Tesco, we are committed to providing the best for you.
As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.
Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.
Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable.
Salary - Your fixed pay is the guaranteed pay as per your contract of employment.
Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy.
Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.
Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.
Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.
Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.
Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.
Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.
You will be responsible for
What You'll Be Responsible For
Responsibilities may evolve as business needs change, but your role will include:
Product Strategy & Planning (in partnership with Lead PM)
Support the Lead Product Manager in shaping the vision, strategy and roadmap for customer data products aligned to our Group Personalisation & Customer Data strategy.
Contribute market research, user insights and problem framing to inform prioritisation and roadmap decisions.
Delivery & Execution
Translate product strategy into actionable work: writing user stories, refining backlog items, and supporting sprint planning for your squad.
Manage the product backlog across the opportunity -> idea -> product -> sprint lifecycle.
Ensure requirements are clear, testable, and aligned to value outcomes.
Driving Measurable Value
Champion a value-first mindset by defining and tracking OKRs/KPIs for your product area.
Gather evidence and data to support decision making and measure the impact of product changes.
User-Centricity
Build a strong understanding of user personas, customer journeys and stakeholder needs.
Identify pain points within customer data consumption workflows and prioritise opportunities accordingly.
Ensure products deliver meaningful improvements for downstream users (e.g., Insights, Marketing, Personalisation, Analytics).
Experimentation & Discovery
Apply a hypothesis driven, learn fast approach in collaboration with engineering and data science teams.
Support early-stage discovery work (e.g., MVP definition, validation experiments, prototyping).
Cross-Functional Collaboration
Work closely with data engineering, data science, architects and analytics teams to deliver high quality customer data products.
Contribute to alignment across stakeholders, proactively sharing progress and managing expectations.
Issue Resolution & Trade-offs
Support the triage and prioritisation of live product issues.
Help balance competing demands across user needs, technical constraints and business value.
You will need
Key Skills & Experience You'll Need
Essential Customer Data Expertise
Experience working with customer data, ideally in a retail or membership based business.
Strong exposure to Customer Insights datasets, including behavioural and descriptive data.
Hands-on experience with customer segmentation, propensity/rule-based audience creation or customer filtering solutions.
Understanding of identity and profile data used for customer level personalisation and communications.
Product Management Experience
Experience working through the product lifecycle from discovery to delivery.
Ability to break down complex requirements into actionable product features.
Comfortable using data (qualitative + quantitative) to inform decisions and prioritisation.
Familiar with product methodologies, Agile ways of working and writing effective user stories/acceptance criteria.
Technical & Analytical Skills
Ability to work with data engineering, analysis and data science teams to build scalable solutions.
Understanding of large-scale data platforms, data quality concepts and data governance.
Experience using product tools (e.g., Aha!, Jira) to manage backlogs and communicate roadmaps.
Stakeholder & Communication Skills
Strong written and verbal communication skills, able to present ideas clearly.
Ability to collaborate across teams and build trusted relationships.
Comfortable navigating ambiguity and problem solving in complex environments.
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Key Competencies
Customer Empathy
Data Analytics & Insights
Segmentation & Personalisation Understanding
Agile Product Delivery
Prioritisation & Roadmapping
Experimentation & Validation
UX/UI Awareness
Problem Solving & Critical Thinking
Communication & Influencing
About us
At Tesco, inclusion is at the heart of everything we do. We believe in treating everyone fairly and with respect, valuing individuality and uniqueness to create a true sense of belonging. Diversity and inclusion are deeply embedded in our values—we treat people how they want to be treated. Our goal is for all colleagues to feel they can be themselves at work, and we are committed to helping them thrive. Across the Tesco group, we are building an inclusive workplace that actively celebrates the cultures, personalities, and preferences of our colleagues, who in turn contribute to the success of our business and reflect the diversity of the communities we serve.
At Tesco Bengaluru, we are proud to be a Disability Confident Committed Employer, highlighting our commitment to creating a supportive environment for individuals with disabilities. We are dedicated to offering equal opportunities for all candidates and encourage applicants with disabilities to apply. Our recruitment process is fully accessible, and we are happy to provide reasonable adjustments during interviews. If you need any accommodations to participate in the recruitment process, please let us know. We are here to ensure that everyone has the chance to succeed.
We also believe in fostering a work environment where you can excel both professionally and personally. Our hybrid model allows you to work flexibly—spend 60% of your week collaborating in person with colleagues at our office locations or local sites, and the rest of the time working remotely. We understand that everyone’s life journey is unique, whether you are starting your career, pursuing passions, or navigating life changes, and we are here to support you. Flexibility is a core part of our culture, and we encourage open conversations about how we can best accommodate your needs, so talk to us throughout your application process on the support required.