Senior Technical Product Manager - Data Governance Technology Platform Lead
Listed on 2026-06-26
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IT/Tech
Data Engineering, Data Security, AI Business & Operations, Change Management
About the Position
Technical Product Managers at U.S. Bank oversee the strategic product management for an assigned technical product line(s) in support of the Enterprise organization’s goals and market needs. Engages with key stakeholders to define, document, and prioritize features; ensures delivery of marketable capabilities for all U.S. Bank engineering teams while collaborating with agile teams.
The Data Governance Platform & Ecosystem Lead 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 Collibra, 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.
Responsibilities- Aligns the strategic vision with cross‑functional stakeholders to shape outcome‑based product roadmap, product risk, investment areas and success measures.
- Drives product development with ownership of backlog and actively engages cross‑functional stakeholders to enable faster speed to market.
- Manages across Enterprise users to define and deliver product performance goals (e.g., outcomes, customer experience, etc.).
- Owns all engagement for assigned technical portfolio regarding the SDLC, e.g., adoption, collaboration.
- Develops, analyses, monitors, and reports on performance metrics from internal and external sources to identify key trends and opportunities for continuous improvement.
- Uses performance metrics to drive towards progress on identified strategies and initiatives.
- Leverages OKRs (Objectives and Key Results) to drive roadmap priorities.
- 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.
- Technical Product Management experience
- 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…
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