Technical Programme Manager

About the Role

Programme Delivery and Execution

• Drive delivery of Search initiatives across platform, data, AI, and customer experience domains.
• Coordinate delivery across Search Engineering, Data Science, Platform, Product, UX, Marketplace, and Clothing teams.
• Manage programme plans, milestones, dependencies, and delivery risks.
• Balance short-term customer and business improvements with longer-term capability development.

Search Intelligence, Data and AI

• Support improvements to query interpretation, rewriting, and intent understanding using AI and machine learning.
• Coordinate experimentation, model development, and production deployment with Data Science, Engineering, and Product teams.
• Support faster experimentation from concept to production.
• Enable improvements in ranking, relevance, recall, and personalisation.
• Help Search platforms scale across Grocery, Marketplace, and Clothing.

Customer and Experience Focus

• Maintain a customer-centric focus and ensure Search initiatives improve customer journeys and business outcomes.
• Support conversational and AI-assisted Search experiences.
• Use customer insights, operational metrics, and business priorities to shape delivery plans and roadmaps.

Stakeholder Collaboration

• Build relationships across Engineering, Product, Data Science, and business teams.
• Communicate programme progress, dependencies, risks, and delivery trade-offs clearly.
• Facilitate alignment across teams executing cross-functional Search initiatives.
• Prepare concise updates for leadership forums and governance reviews.

Governance and Improvement

• Track milestones, risks, issues, actions, and dependencies through effective programme governance.
• Create clarity in ambiguous delivery environments involving experimentation and AI-driven development.
• Improve programme delivery processes, reporting, and ways of working.
• Measure and track programme outcomes and benefits.

Essential Skills

• Experience delivering technology programmes in complex, cross-functional environments.
• Ability to coordinate delivery across Product, Engineering, and Data teams.
• Experience working with Data Science or Machine Learning teams and supporting experimentation-led delivery.
• Strong stakeholder management and communication skills.
• Planning, dependency management, risk management, and governance capabilities.
• Customer and commercial awareness linked to business outcomes.
• Comfort operating in ambiguity and navigating evolving priorities.

Advantageous Skills

• Understanding of Search, Discovery, Recommendations, AI/ML, or data-driven platforms.
• Awareness of search relevance, ranking, query understanding, or information retrieval principles.
• Experience in large-scale digital, e-commerce, or customer-facing technology organisations.

Workplace Model

• Tesco's hybrid model involves spending 60% of the week collaborating in person at offices or local sites and the remainder working remotely.

Rewards and Benefits

• Tesco describes a reward framework covering fixed pay, incentives, benefits, leave, retirement programmes, health support, mental wellbeing, financial wellbeing, and physical wellbeing.
• The Bengaluru campus includes sporting and indoor recreation facilities.