Senior Technical Product Manager – Data Governance Technology Platform Lead

Jobtailor; California (MO); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor seeks a senior data governance leader to architect and drive enterprise governance across multi-cloud environments. You will lead data lineage, quality, metadata, and access governance initiatives while aligning with architecture, risk, and engineering teams.

This role requires executive-level communication, KPI-driven programs, and a track record of scaling governance in large organizations. Experience with Collibra, Snowflake, and Databricks Unity Catalog is highly preferred, along

Qualifications

• 12–15+ years in data governance or platform leadership roles.
• Expert 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).

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 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

Enterprise data management

Stakeholder management

Leadership

Roadmap and strategy

Governance evangelism

Executive communication

Data security and privacy

Tools

Collibra

Snowflake

Databricks Unity Catalog

Job description

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 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.

Requirements

• 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)