Senior AI Data Product Owner

Overview

Senior AI Data Product Owner to lead strategy, governance, productization, and operations for AI-ready data products enabling scalable AI solutions.

What you'll do

• Own the AI data product roadmap and turn business priorities into a reusable, sequenced backlog.
• Partner with dashboard, analytics, and AI delivery teams to evolve reporting into governed AI-ready data products.
• Define data product charters covering ownership, data contracts, access models, and retention.
• Implement row/column/table-level access standards and data handling controls using Databricks Unity Catalog and AWS services.
• Design and operate incremental, observable, cost-efficient data ingestion and curation pipelines.
• Create and maintain versioned, reproducible datasets with metadata and documentation for training/evaluation/inference/monitoring.
• Set AI data quality standards and enforce automated quality controls and readiness gates for model lifecycle.

What you'll need

• 8+ years of experience in data engineering, data management, AI data foundations, or related leadership roles.
• Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, Applied Mathematics, Engineering, or a related field.
• 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.
• Demonstrated ownership of data products or mission-critical data pipelines with measurable business impact.
• Ability to work with stakeholders across business, product owners, data/AI engineering, security, and platform organizations.
• Strong communication skills to simplify complex technical concepts for business stakeholders.

Details

• Employment type: Full-time.
• Worksite flexibility: Hybrid.
• Location: Bengaluru, India.