Group Lead, Data Products & Architecture - GCC India

About the role

Kraft Heinz is looking for a Group Lead for its GCC India Data Products & Architecture team in Bengaluru. The role manages the GCC team members and their deliverables across all domains, partners with onsite Data Architecture leads on staffing and delivery, and acts as the main liaison between the GCC and the global Data Products & Platforms leadership.

Key responsibilities

• Manage, mentor and develop GCC-based Data Architects and Sr. Data Architects, building an internal growth pipeline in India.
• Partner with onsite Data Architecture leads to assess staffing needs, allocate GCC resources and ensure timely delivery against domain priorities.
• Diagnose gaps in operating routines (stand-ups, governance forums, progress tracking) across onsite and GCC time zones and design consistent cadences.
• Assess the chapter's operating maturity against target-state practices and build playbooks and feedback loops to close gaps.
• Hold the GCC team accountable to data architecture standards, guidelines and best practices, including semantic model and AI-readiness practices.
• Coordinate onboarding, capacity planning and resource allocation, and support performance management, hiring and workforce planning in line with GCC HR policies.
• Escalate and help resolve delivery risks, staffing gaps and cross-domain conflicts.
• Represent the GCC team in chapter-wide governance forums and leadership discussions, and build a cohesive community across the distributed onsite and GCC team.

Required profile

• Experience in a matrixed, dual-reporting GCC/shared-services model.
• Experience designing and running team operating routines for a technical team, including building them from scratch.
• Track record of maturing a function or team by building playbooks, SOPs or capability frameworks.
• Experience building culture and community across a distributed or hybrid team.

Required skills

• Working knowledge of cloud lakehouse technologies (Snowflake, including Cortex), cloud platforms (Azure, AWS, GCP), data modeling tools (ERWIN, ER/STUDIO) and semantic layer concepts.
• Proficiency in SQL and Python, and familiarity with BI tools such as Power BI.
• Understanding of data governance principles, including data quality, security and compliance.