Senior Technical Product Manager – Data Governance Technology Platform Lead

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 Collibra, 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 life cycles.
• 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.

• 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 Collibra, 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
• Background in building governed data marketplaces, secure data exchange models, entitlement frameworks, and data contracts
• Experience defining governance standards for data products and enterprise data sharing ecosystems
• Experience with cost optimization, budgeting, and financial governance for platform ecosystems
• Proven product leadership, including vision setting, roadmap development, and backlog management
• Strong stakeholder management skills with the ability to influence across technical, business, and executive domains
• Demonstrated success driving governance adoption in large, complex organizations
• Strong track record delivering strategic roadmaps, KPIs, and modernization outcomes at scale
• Exceptional communication skills with experience presenting to and influencing executive stakeholders
• Experience with AI driven governance automation (e.g., enrichment agents, lineage inference, data quality intelligence)