Senior Manager, Data Stewardship & Quality

Senior Manager, Data Quality & Data Stewardship

Location: Bangalore, India

About the Position

The Global Enterprise Data Management Team is seeking an experienced and driven Senior Manager, Data Quality & Data Stewardship to make a difference at Kraft Heinz. This role leads both our Data Quality (DQ) and Data Stewardship functions within India, including direct management of the stewardship team.

You will own our foundational data strategy, drive AI readiness across both functions, and partner with stakeholders to deliver measurable data improvement.

This is a high-visibility role for a strong people manager who is equally comfortable driving strategic roadmaps and getting into the data with SQL.

Who we are looking for:

We are seeking a motivated and results-oriented leader who combines deep expertise in data quality and stewardship with strong people management and a genuine passion for AI-enabled ways of working. This role requires someone equally comfortable managing a distributed team in India, partnering with senior business stakeholders, and rolling up their sleeves with SQL, Collibra and PowerBI. True ownership, clear communication, and a drive to fix foundational data problems are the keys to success in this position.

Responsibilities:

Strategy & Roadmap

• Help drive the enterprise Data Quality & Data Stewardship strategy and multi-year roadmap tied to business outcomes (order-to-cash, supply chain, finance, customer/product master)

• Lead strategic, foundational data improvement projects — identifying systemic gaps, prioritizing by business impact, and driving root cause fixes with system/process owners

• Partner with business and technology stakeholders to align priorities, drive adoption, and deliver outcomes

AI Readiness & Ways of Working

• Drive the implementation of AI readiness strategy for both functions in India: stewardship team builds semantic context and data definitions that make our data AI-consumable; DQ team develops trust cards that surface data quality signals for AI consumption