Senior AI Data Product Owner

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

• 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 ownership mindset with accountability for business and technical outcomes

• Strong judgment balancing speed quality security cost and maintainability

• Excellent problem-solving skills and ability to adapt in fast-paced evolving environments

• Commitment to data quality operational excellence documentation and continuous improvement

Preferred:

• Databricks Data Engineer Professional certification

• Databricks Machine Learning Professional certification

• AWS Certified Data Analytics certification

• AWS Solutions Architect Associate certification

• AWS Solutions Architect Professional certification

• Data governance data management product ownership or agile delivery certifications

Physical Demands

• Ability to safely and successfully perform the essential job functions

• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings etc.

• Ability to conduct repetitive tasks on a computer utilizing a mouse keyboard and monitor