AI Product Owner

We are looking for a Senior AI Data Product Owner to lead the strategy, governance, productization, and operational excellence of AI-ready data products that enable scalable and reliable AI solutions across the enterprise. This position will be Full-time and Hybrid in Bengaluru.

What Youll Do

• Own the AI data product roadmap and translate business priorities into a sequenced backlog of reusable data products with defined ownership, service levels, and lifecycle controls
• Partner with dashboard, analytics, and AI delivery teams to identify reporting assets that should evolve into governed AI-ready data products
• Establish data product charters defining purpose, consumers, source ownership, data contracts, access models, and retention requirements
• Implement table-, column-, and row-level access standards, classification, audit trails, and data handling controls using Databricks Unity Catalog and AWS services
• Lead the design and operation of incremental, observable, and cost-efficient data ingestion and curation pipelines across enterprise data sources
• Create and maintain versioned, reproducible training datasets, evaluation datasets, inference inputs, feature tables, and monitoring datasets with clear metadata and documentation
• Define and implement AI-specific data quality standards including completeness, consistency, timeliness, uniqueness, referential integrity, distribution stability, and drift sensitivity
• Establish automated quality controls and enforce readiness gates that prevent model training, deployment, or production promotion when critical data quality requirements are not met
• Develop operational runbooks for recovery, backfills, reprocessing, incident response, and escalation management
• Participate in operational reviews and drive root-cause analysis and corrective actions to improve platform reliability
• Optimize storage, compute utilization, partitioning, scheduling, and overall platform cost efficiency
• Approve data readiness gates for model training, evaluation, deployment, and significant production inference input changes
• Escalate data ownership, quality, access, and cost issues that introduce risk or impede business outcomes

Required:

• Bachelors degree or higher in Computer Science, Data Science, AI/ML, Applied Mathematics, Engineering, or a related field
• 5+ years of experience in data engineering, data management, AI data foundations, or related technology leadership roles
• Demonstrated ownership of data products or mission-critical data pipelines delivering measurable business impact

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