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-productive 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

Email: [email protected] - Please share your resume

📌 AI Product Owner (Bengaluru)
🏢 Cai Info India
📍 Bengaluru