Manager, Customer Master Platform / MDM Lead

About the role

Lead the evolution of customer data at a global scale by overseeing and advancing an enterprise Customer Master Data Management (MDM) platform. In this pivotal role, you will manage a talented team responsible for developing trusted customer identities, maintaining high-quality golden records, and enabling scalable integrations across vital systems.

Responsibilities

• Design and implement sophisticated customer domain data models within an MDM platform
• Lead and mentor a technical team focused on MDM development, data quality, and system integrations
• Configure and customize MDM engines, including match & merge rules and survivorship logic
• Define and execute integration architecture using API-driven and event-based systems
• Collaborate with enterprise architecture, data governance, and business stakeholders to ensure the MDM platform meets evolving needs

Requirements

• Extensive experience with MDM platforms such as Informatica MDM, Reltio, or Semarchy
• Deep understanding of enterprise data architecture with a focus on customer domain modeling
• Proven ability to lead and mentor technical teams, with strong people management skills
• Expertise in integration architecture, including designing and implementing API-driven and event-based systems
• Proficiency in configuring and customizing MDM engines, including match & merge rules and survivorship logic
• Solid knowledge of REST APIs, middleware, cloud platforms, and modern SDLC practices
• Bachelor's or Master's degree in Computer Science, Engineering, or related fields
• Over 8 years of enterprise systems or data platform experience, including more than 4 years dedicated to managing enterprise Customer MDM platforms in production environments

Nice-to-have skills

• Experience working with Data Governance frameworks and stewardship models
• Exposure to Customer 360 initiatives, advanced analytics, or customer-facing platforms
• Familiarity with IAM, entitlement, billing, or related customer engagement systems
• Knowledge of AI-assisted matching or advanced entity resolution techniques
• Background in regulated or large-scale enterprise contexts

Other details

Workplace type: Remote (direct hire). Location preference includes onsite options in Westminster, CO; Dayton, OH; Lake Oswego, OR; or fully remote in the US. Travel up to 10% may be required.