Senior AI Data Governance Product Lead (Multi-Cloud)

Us Bank; Cupertino (CA); Hybrid; USD 148,000 - 175,000; Full time

Benefits offered by this job

Healthcare

401(k) plan

Paid vacation

Job summary

U.S. Bank seeks a Senior Technical Product Manager - AI Enabled Data Governance to define, build, and scale an enterprise governance platform across multi-cloud environments and diverse data ecosystems.

You will architect a unified governance experience tying Snowflake and Databricks Unity Catalog to secure, compliant data usage. The ideal candidate combines deep data governance expertise with strategic product leadership, driving interoperability, automation, and alignment with security,

Qualifications

• 12–15+ years in data governance, enterprise data management, or platform architecture leadership roles.
• Expert level knowledge of metadata management, data lineage, data quality, compliance, and enterprise governance frameworks.
• Hands on proficiency with Snowflake, Databricks Unity Catalog, and related governance ecosystem technologies.
• Proven experience architecting and governing multi cloud environments (AWS + Azure) and hybrid/on prem integrations.
• Experience designing API driven integrations, automation workflows, and governance engineering patterns.

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.

Skills

Data governance

Cross-functional leadership

Snowflake

Databricks Unity Catalog

APIs & integrations

Cloud platforms

Tools

Snowflake

Databricks Unity Catalog

Job description

U.S. Bank seeks a Senior Technical Product Manager - AI Enabled Data Governance to define, build, and scale an enterprise governance platform across multi-cloud environments and diverse data ecosystems.

You will architect a unified governance experience tying Snowflake and Databricks Unity Catalog to secure, compliant data usage. The ideal candidate combines deep data governance expertise with strategic product leadership, driving interoperability, automation, and alignment with security,