Group Lead, Data Stewardship & Quality

Kraft Heinz, Inc.; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Kraft Heinz, Inc. in Bengaluru seeks a data quality and governance leader to drive AI-enabled data stewardship, manage a distributed team in India, and partner with senior business stakeholders to fix foundational data problems.

You will own data quality frameworks, apply Collibra and SQL for profiling and monitoring, and champion change management to embed AI-readiness across the organization.

Qualifications

• Ten-plus years in data quality, governance or stewardship.
• Five-plus years managing distributed or offshore teams.
• Familiarity with DAMA-DMBOK, DGPO or DCAM.
• Advanced SQL for profiling, reconciliation and anomaly detection.
• Experience implementing Collibra Data Quality in production.
• Experience applying AI to data quality and stewardship and building an AI roadmap.
• Partner with business stakeholders to align priorities and drive adoption.
• Strong data governance processes, standards and measurement frameworks.
• Excellent RCA and coaching skills for teams.
• Proficient in Power BI dashboards and DQ scorecards.

Responsibilities

• Lead data quality and governance strategy and multi-year roadmaps.
• Manage a distributed India-based team and partner with senior stakeholders.
• Prototype, socialize and implement AI-enabled data quality approaches.
• Roll out Collibra Data Quality in production with monitoring and scorecards.
• Drive change management and accountability across functions.

Skills

Data governance

SQL

Power BI

Leadership

Stakeholder management

AI in data quality

Tools

Collibra Data Quality

Collibra Data Intelligence Cloud

AWS

Azure

GCP

Power BI

Job description

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.

• 10+ years in data quality, stewardship, and/or governance, including 5+ years managing people; demonstrated success managing distributed or offshore teams
• Familiarity with modern data governance frameworks such as DAMA-DMBOK, DGPO, or DCAM
• Advanced in SQL for profiling, reconciliation, anomaly detection, and trend analysis
• Experienced implementing and operating Collibra Data Quality in production (rules, monitoring, scorecards, workflows)
• Hands-on experience applying AI for data quality and stewardship (anomaly detection, auto-classification, stewardship automation); able to build and socialize an AI readiness roadmap including change management for new ways of working
• Proven at partnering with business stakeholders to align priorities, drive adoption, and deliver outcomes
• Skilled at designing enterprise DQ and stewardship processes, standards, and measurement frameworks
• Strong in RCA and capable of coaching a team to execute and prevent recurrence
• Proficient in Power BI for stakeholder-ready dashboards and DQ scorecards
• Language: fluent in English
• Exceptional communication, collaboration, and leadership skills; proven ability to drive change, build cross-functional relationships, and navigate complex organizational dynamics with adaptability and influence
• Commitment to continuous learning; actively stays up-to-date with the latest trends, tools, and best practices in data, AI, and the broader technology landscape
• Experience with Collibra Data Intelligence Cloud (catalog/glossary/lineage)
• Experience with cloud-based data platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) and their associated data services
• Familiarity with emerging data architectures such as Data Fabric and Data Mesh
• CPG/manufacturing and SAP/ERP ecosystem experience
• Prior India-based or offshore team management experience
• 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
• Ensure both teams fully understand and own their role in AI readiness; drive adoption through clear accountability and ongoing change management