The MDM Product Manager will help define and drive the Enterprise Master Data Management (MDM) strategy for U.S. Bank — establishing golden record products as foundational data capabilities that enable AI, analytics, and business decision-making across the organization. This role sits in Enterprise Data Office MDM team at the intersection of data strategy, product management, and enterprise governance, transforming multi-domain MDM data into tangible, governed, and scalable data products.

Mission

Serve as a key Partner for the EDO MDM office partnering with business line data owners, technology and EDO Data Products Enablement teams to make master data a trusted, value-generating asset at scale — treating Lines of Business (LOBs) as customers and data quality as a measurable outcome.

Key Responsibilities

• Define the MDM Vision & Roadmap — Shape the multi-year MDM roadmap aligned to LOB priorities, enterprise AI, and digital transformation initiatives.

• Run Golden Record Domains as Products — Establish clear value propositions, roadmaps, SLAs, and adoption metrics for each data domain.

• Translate Business Needs into MDM — Ensure match rules, survivorship logic, and reference data hierarchies reflect the bank's commercial, regulatory, and operational priorities.

• Prioritize Data Domains — Direct MDM investment where it matters most based on business value, regulatory requirements, and strategic impact.

• Stakeholder Engagement — Build alignment across CRM, underwriting, servicing, analytics, and risk teams around shared MDM data standards, ownership models, and consumption frameworks.

• Data Governance Partnership — Collaborate with the EDO Data Governance team to define how master data decisions are made, escalated, and enforced enterprise-wide.

• Backlog & Delivery Management — Actively manage the MDM product backlog through the agile delivery lifecycle, ensuring delivery is tied to LOB use cases and measurable business outcomes. ,

• Measurement & Optimization — Define and track product SLAs across freshness, accuracy, match confidence, and availability; leverage OKRs and North Star Metrics to drive roadmap priorities and performance. ,

Preferred Skills & Experience

• Digital Product Management experience with a strong foundation in data strategy, master data management, or enterprise data platforms.

• Product Strategy & Vision — Expertise in defining product vision, roadmaps, and OKRs that align cross-functional teams to business outcomes.

• Data-Driven Decision Making — Ability to ensure a data-driven approach to prioritize "building the right thing" that maximizes results for both end users and internal business partners.

• Customer Centricity — Strong ability to implement strategies ensuring LOBs and internal stakeholders have a positive, value-driven experience with MDM products.

• Technical Acumen — Knowledge of MDM platforms, data integration, match/merge logic, survivorship rules, and data quality frameworks; ability to design and configure technical aspects of data products. ,

• Risk & Compliance Awareness — Knowledge of risk management processes and regulatory data requirements (e.g., Basel/RWA) relevant to banking.

• Agile Delivery — Experience managing product backlogs and driving delivery through agile methodologies.

• Stakeholder Management — Proven ability to engage and align diverse enterprise stakeholders across business, technology, and governance functions.

• Performance Measurement — Experience developing and tracking KPIs, SLAs, and North Star Metrics to optimize execution and demonstrate business impact.

**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**