Sr. Technical Product Manager 1 - AI Enabled Data Governance

U.S. Bank • Cupertino, CA

2d • $148,495 - $174,700 • Hybrid

About The Position

The Senior Technical Product Manager - AI Enabled Data Governance is responsible for defining, building, and scaling the enterprise’s integrated governance platform across multi cloud environments and diverse data ecosystems. This leader will architect and operationalize a unified governance experience that connects Snowflake, Databricks Unity Catalog, and other ecosystem technologies to ensure secure, compliant, and trusted data usage across the organization.
The ideal candidate combines deep data governance expertise with strategic product leadership - driving interoperability, automation, data driven innovation, and alignment with regulatory, security, and business objectives.

Requirements

• Strong experience in Data Governance, Enterprise Data Management, Product Management, Data Platforms, or Platform Architecture Leadership.
• Expert knowledge of Metadata Management, Data Lineage, Data Quality, Data Cataloging, Data Compliance, Data Privacy, Regulatory Controls, and Enterprise Data Governance Frameworks.
• Hands-on experience with Snowflake, Databricks, Unity Catalog, Data Catalogs, Metadata Repositories, and modern Data Governance Platforms.
• Proven expertise governing Multi-Cloud Environments across AWS and Microsoft Azure, including Hybrid Cloud and On-Premises Data Ecosystems.
• Strong experience designing API-Driven Integrations, Data Services, Governance Automation Workflows, and Governance Engineering Solutions.
• Expertise building and scaling Governed Data Marketplaces, Data Sharing Platforms, Secure Data Exchange Models, Entitlement Management Frameworks, and Data Contracts.
• Experience defining and operationalizing Data Product Governance Standards, Data Ownership Models, Data Stewardship Practices, and Enterprise Data Sharing Strategies.
• Strong understanding of Platform Financial Management, Cost Optimization, Budget Planning, FinOps Practices, and Technology Investment Governance.
• Demonstrated Product Management Leadership including Product Vision, Strategy Development, Roadmap Ownership, Prioritization, Backlog Management, and Go-to-Market Planning.
• Exceptional ability to influence and collaborate with Engineering, Data, Security, Risk, Compliance, Architecture, Business Leaders, and Executive Stakeholders.
• Proven success driving Governance Adoption, Organizational Change Management, Operating Model Transformation, and Enterprise Scale Modernization Initiatives.
• Strong experience establishing and measuring KPIs, OKRs, Product Metrics, Governance Metrics, Adoption Metrics, and Business Outcomes.
• Excellent Executive Communication, Strategic Storytelling, Stakeholder Engagement, and Board-Level Presentation skills.
• Experience leveraging AI-Driven Governance Automation, including Generative AI, Intelligent Data Discovery, Metadata Enrichment, Automated Classification, Lineage Inference, Data Quality Intelligence, and AI-Powered Governance Agents.

Nice To Haves

• Databricks Unity Catalog / Governance focused training
• CDMP, DCAM, or equivalent governance certifications
• Snowflake or cloud governance certifications (AWS / Azure)

Responsibilities

• Architect and maintain end-to-end governance frameworks for data lineage, data quality, metadata management, access governance, and compliance across AWS, Azure, and on prem environments.
• Establish scalable patterns for metadata ingestion, lineage orchestration, and policy enforcement to ensure consistent and automated governance.
• Unify Snowflake, Databricks Unity Catalog, and adjacent technologies into a cohesive governance fabric that supports interoperability and consistent controls.
• Define integration standards and interoperability patterns to ensure unified governance across platforms, data domains, and cloud environments.
• Define governance operating models for data products, shared datasets, and marketplace offerings to support standardized, governed data consumption.
• Enable secure, compliant, and frictionless data sharing using entitlement frameworks, data contracts, and standardized exchange patterns.
• Partner with SMEs across lineage, data quality, privacy, risk, and engineering to embed governance capabilities into workflows and development lifecycles.
• Lead governance evangelism to promote adoption, improve usability, and drive consistent enterprise wide execution.
• Develop API driven patterns and automation for metadata ingestion, lineage capture, quality metrics, and governance workflows.
• Champion automation first practices to reduce operational overhead, improve governance scalability, and ensure consistent control enforcement.
• Collaborate closely with architecture, engineering, product, risk, and business teams to align governance capabilities with enterprise priorities.
• Influence executive stakeholders through a clear vision, measurable outcomes, and demonstrated strategic impact.
• Define KPIs that measure governance adoption, data quality improvements, regulatory readiness, and platform performance.
• Provide leadership reporting that clearly communicates program value, progress, risks, and mitigation strategies.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed