MDM Product Owner
About The Position
The MDM Product Owner & Data Analyst defines, prioritizes, and delivers capabilities for a custom Master Data Management (MDM) platform governing client and product data across the enterprise. The role bridges business stakeholders, data governance teams, and technology teams to support high-quality, trusted, and consistent master data for operational and analytical use cases. It combines product ownership with hands-on data analysis and troubleshooting to validate how data is sourced, enriched, transformed, stored, and presented across the MDM ecosystem. The position works with business SMEs and governance teams to translate requirements into product capabilities, and collaborates with architects, developers, data engineers, and integration teams to deliver MDM workflows, APIs, and enterprise data synchronization. It also analyzes SQL data, investigates lineage and transformations, troubleshoots data quality issues, and validates third-party enrichment integrations. The role requires openness to travel up to 25% as needed.
Requirements
- At least 5 years of experience as a Product Owner, Product Manager, Business Analyst, or MDM functional lead.
- Strong understanding of MDM concepts, including golden records, matching and merging, survivorship rules, reference data, and data governance.
- Strong communication skills and ability to collaborate effectively with business stakeholders, data governance teams, developers, and data engineers.
- Proficiency in SQL, including analyzing backend data structures, validating data quality, and troubleshooting discrepancies between application UI and database records.
- Experience testing and validating MDM systems, including external data provider integrations using Postman or similar tools.
- Experience investigating data lineage, data mappings, and integration workflows across source systems, APIs, and databases.
- Experience working in Agile/Scrum environments using Azure DevOps, Jira, or similar tools.
- Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution.
- Understanding of AI capabilities and limitations, including ethical considerations.
- Must be open to travel up to 25% as needed.
Nice To Haves
- Familiarity with third-party data enrichment providers such as Dun & Bradstreet.
- Familiarity with AI-enhanced platforms.
Responsibilities
- Lead business discovery and requirements-gathering meetings with business SMEs.
- Define and manage the product roadmap, backlog, and priorities for a custom-built MDM platform.
- Translate business requirements for customer, vendor, and product master data into user stories and acceptance criteria.
- Partner with Data Governance, Data Stewardship, and business teams to establish data standards, business rules, approval workflows, data quality controls, and matching and merging processes.
- Collaborate with architects, developers, and integration teams to deliver MDM capabilities, APIs, workflows, and data synchronization across enterprise systems.
- Lead UAT meetings with business stakeholders and monitor product performance, data quality metrics, and user feedback to continuously enhance the platform.
- Use SQL to analyze domain data in the MDM database and related downstream systems.
- Analyze source-to-target data flows, data lineage, data transformations, and enrichment processes.
- Partner with developers and data engineers to troubleshoot data quality issues and identify root causes across source systems, integrations, APIs, and MDM processes.
- Create and execute SQL queries to validate business requirements, perform impact assessments, and support user acceptance testing.
- Validate third-party data enrichment services and APIs, using tools such as Postman to explore capabilities, test requests and responses, and specify integration requirements at the attribute level.
- Work with integration teams to ensure proper ingestion, mapping, transformation, and persistence of enrichment data.
- Assess data quality, coverage, and business value of external data providers and recommend enhancements to enrichment strategies.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
