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Job Description
Structured overview of role & requirementsAbout This Role
Own and manage the AI data product roadmap translating business priorities into reusable data products with clear governance and lifecycle controls.
Lead design and operation of data ingestion, curation pipelines, and versioned datasets ensuring AI readiness and data quality compliance.
Drive operational excellence through automated quality controls, incident management, cost optimization, and stakeholder collaboration across analytics and AI delivery teams.
Minimum Requirements
Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, Engineering, or related field.
8+ years of experience in data engineering, data management, AI data foundations, or related technology leadership roles.
Hands-on experience with AWS, Databricks (including Delta Lake, Unity Catalog), data lineage, observability, and production support.
Worksite: Hybrid model based in Bengaluru, India.
Ideal Candidate Profile
Experienced leader capable of owning end-to-end AI data product lifecycle and governance with measurable business impact.
Proficient in managing complex data quality standards, data contracts, and navigating ambiguous environments to drive strategic decisions.
Skilled in cross-functional stakeholder engagement spanning business leaders, product owners, engineering, security, and platform teams to enable scalable AI solutions.