Group Lead, Data Stewardship & Quality

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