Key responsibilities
- Lead end-to-end delivery of MDM initiatives, owning sprint planning, backlog grooming, and hands-on configuration of the MDM platform across assigned data domains.
- Manage and mentor a team of MDM engineers, data stewards, and analysts — setting clear goals, conducting performance reviews, and building capability within the team.
- Oversee the daily operation of MDM platform workflows including match-merge rules, survivorship logic, hierarchy management, and golden record publication to downstream systems.
- Collaborate with data architects and solution architects to design and implement data models, entity relationships, and integration patterns that support MDM objectives.
- Partner with data stewards and business domain owners to define and enforce data quality rules, resolve duplicate and conflict issues, and maintain stewardship workflows.
- Manage integrations between the MDM hub and source/consuming systems (ERP, CRM, eCommerce, analytics platforms, Salesforce), ensuring timely and accurate data synchronization.
- Monitor MDM platform health, data quality KPIs, and SLAs — proactively identifying degradation, driving root-cause analysis, and implementing remediation plans.
- Support data governance initiatives by contributing to policy definition, business glossary enrichment, and participation in data stewardship councils.
- Work with vendors and third-party implementation partners, managing deliverables, reviewing outputs, and ensuring alignment with enterprise standards.
Required
- 7+ years in data management or data engineering, with at least 3 years in a hands-on MDM delivery or operations role.
- Proven experience configuring and operating at least one enterprise MDM platform (Informatica MDM, Reltio, Stibo STEP, SAP MDG, Semarchy, or equivalent).
- Strong understanding of MDM concepts: match-merge, survivorship, golden record, hierarchy management, and entity resolution.
- Experience managing integrations between MDM hubs and enterprise systems (ERP,CRM) using REST APIs, event-driven patterns, or ETL/ELT pipelines.
- Demonstrated ability to lead and develop a small to mid-sized team in a delivery-focused environment.
- Solid data modeling skills, including conceptual, logical, and physical data models for master data domains.
Preferred
- Certification on a major MDM platform (e.g., Informatica MDM Certified Specialist, Reltio Certified Professional).
- Familiarity with data governance frameworks (DAMA/DMBOK) and experience contributing to stewardship programs.
- Experience working in cloud-native environments (AWS, Azure, or GCP) with modern data stack tooling.
- Exposure to data quality monitoring tools (Monte Carlo, Great Expectations, Soda) integrated with MDM workflows.
- Background in regulated industries (pharma, financial services, retail, manufacturing) with complex master data landscapes.
- Experience with agile delivery methodologies and tools such as Jira and Confluence