Manage the GCC India Data Architecture team members and their deliverables across all domains, ensuring consistent quality, standards adherence, and career development for each team member. Partner closely with onsite Data Architecture leads to assess their staffing needs, allocate GCC resources accordingly, and ensure seamless, timely delivery against each domain's priorities. Diagnose gaps in the chapter's operating routines — stand-ups, governance forums, progress tracking — across onsite and GCC time zones, and design consistent cadences that keep delivery visible and risks surfaced early.

Assess the Data Architecture chapter's operating maturity against target-state practices — standards adoption, onboarding, quality processes — and build the playbooks and feedback loops needed to close the gaps. Serve as the primary liaison between the Director, Data, AI & Digital Innovation - GCC, and the Global Head of Data Products & Platforms, aligning GCC operational/administrative requirements with the chapter's technical and delivery priorities. Manage, mentor, and develop the GCC-based Data Architects and Sr.

Data Architects, building a solid internal growth pipeline within India. Hold the GCC team accountable to the chapter's established data architecture standards, guidelines, and best practices, even though this role does not personally author domain-specific architecture. Coordinate onboarding, capacity planning, and resource allocation for the GCC Data Architecture team, in partnership with the Director, Data, AI & Digital Innovation - GCC, and onsite Data Architecture leads.

Escalate and help resolve delivery risks, staffing gaps, or cross-domain conflicts affecting GCC team members. Champion the chapter's data architecture standards — including semantic model and AI-readiness practices — within the GCC team,



ensuring GCC-delivered work meets what onsite Data Architecture leads expect. Represent the GCC Data Architecture team in chapter-wide governance forums and leadership discussions.

Support performance management, hiring, and workforce planning for the GCC team, in line with GCC HR policies and processes. Build a cohesive Data Architecture community across a distributed onsite GCC team through knowledge-sharing rituals and shared practices that prevent the GCC team from operating in isolation. Working knowledge of the organization's core data platforms and architecture concepts — cloud lakehouse technologies (Snowflake, including Cortex), cloud platforms (Azure, AWS, GCP), data modeling tools (ERWIN, ER/STUDIO), and semantic layer concepts — sufficient to assess team output and guide standards adherence across domains Working proficiency in SQL and Python, and familiarity with BI tools such as Power BI, sufficient to review team output and guide technical standards Working understanding of Data Governance principles and practices, including data quality, security, and compliance Experience operating in a matrixed, dual-reporting GCC/shared-services model Experience designing and running team operating routines — stand-ups, retrospectives, progress tracking, governance forums — for a technical team, including building these from scratch rather than operating within an already-established cadence Experience assessing team or organizational maturity against target-state practices and building the playbooks, SOPs, or capability frameworks needed to close the gaps — a track record of maturing a function or team, not just running an already-mature one Experience building culture and community across a distributed or hybrid (onshore/offshore) team — knowledge-sharing programs, engagement rituals, and practices that keep a geographically split team cohesive rather than isolated

📌 Group Lead, Data Products & Architecture - GCC India (Bengaluru)
🏢 Kraft Heinz
📍 Bengaluru