Senior AI Data Product Owner Req number: R8395 Employment type: Full time Worksite flexibility: HybridWho we areCAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is rightwhatever it takes.

Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary We are looking for a motivated AI Data Product Owner ready to take us to the next level! If you have experience with AWS, Databricks, and AI data product management, and are looking for your next career move, apply now.

We are looking for an 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-effective 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 Drive dashboard-to-data-product transformations and establish governed, reusable data products that support critical AI use cases Deliver quality and cost scorecards that provide transparency into data health, reliability, usage, and platform cost drivers What Youll Need Required: Bachelors degree or higher in Computer Science, Data Science, AI/ML, Applied Mathematics, Engineering, or a related field 8+ 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 Hands-on experience with AWS, Databricks, Delta Lake, Unity Catalog, data lineage, observability, and production support Experience defining and managing data contracts, quality gates, service levels, and data access models Strong stakeholder management skills with experience partnering across business leaders, product owners, data and AI engineering teams, security, and platform organizations Ability to operate at a senior level, challenge incomplete requirements, evaluate trade-offs, and drive decisions in ambiguous environments Strong communication skills with the ability to simplify complex technical concepts for business stakeholders Proven .

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