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Protocol Intelligence
Data-driven signals on your job's competitivenessNiche Databricks/GenAI senior role in Bangalore reduces applicant density despite metro location.
Databricks, governed AI and platform governance requirements limit transferable candidate backgrounds.
Explicit 10+ years, 3+ years management, and Databricks/platform governance expertise enforce strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and grow engineering organization for Nielsen's Databricks-based data and AI ecosystem, directly managing Data Platform and AI/Data Engineering teams.
Own end-to-end delivery accountability, including setting OKRs, managing program cadences, and resolving cross-team dependencies and risks.
Manage budget/FinOps, governance, risk oversight, and executive stakeholder engagement for the combined Databricks program and associated teams.
Minimum Requirements
10+ years in data/software engineering including 3+ years managing engineering leads/managers across distributed teams.
Strong working knowledge of Databricks ecosystem (Unity Catalog, Delta Lake, Databricks SQL etc.) sufficient to guide architecture and technical team leads.
Working understanding of GenAI application patterns (LangChain, vector databases, Databricks Genie) to enable governed AI deployment.
Experience owning cloud/platform budgets and driving cost-efficiency; work experience explicitly includes program and delivery management across engineering disciplines.
Ideal Candidate Profile
Experienced engineering leader capable of integrating AI/GenAI and data platform strategies into unified, prioritized roadmaps.
Skilled at managing multiple engineering teams, balancing delivery, governance, risk, and FinOps responsibilities with executive-level stakeholder communication.
Technically curious and analytically strong individual able to influence senior leadership and champion pragmatic adoption of emerging Databricks and AI technologies.