Title: MDM Product Owner
Location: 100% Remote
Contract to Hire Opportunity
MDM Engineering & Operations Manager (Customer Mastering)
Role Overview: The MDM Engineering & Operations Manager is a hands-on leadership role responsible for the design, deployment, administration, and day-to-day operation of the enterprise Customer Master Data Management capability using Profisee.
This role owns both the technical engineering and operational execution of customer mastering ensuring high-quality, trusted golden records that reliably support analytics, reporting, downstream applications, and regulatory use cases. You will lead a small team of MDM engineers and operations analysts while working closely with Data Governance, Engineering, Privacy, and Business stakeholders.
Key Responsibilities
MDM Solution Design & Architecture
- Design and evolve the Customer MDM solution using Profisee, aligned to enterprise data architecture standards
- Define entity models, attributes, hierarchies, and relationships for customer mastering
- Design match/merge rules, survivorship logic, and golden record strategies
- Establish publishing patterns to downstream systems (analytics, CRM, operational platforms)
- Ensure alignment with data governance standards, privacy requirements, and security controls
Platform Deployment & Administration
- Own Profisee platform configuration, environment management, and release lifecycle
- Administer models, rules, workflows, jobs, and integrations within Profisee
- Manage platform upgrades, patches, and configuration changes
- Partner with infrastructure and cloud teams to ensure availability, performance, and scalability
MDM Operations & Run-the-Business
- Lead day-to-day MDM operations including job monitoring, incident resolution, and defect management
- Establish SLAs for data latency, data quality, and operational reliability
- Oversee onboarding of new source systems and incremental domain enhancements
- Manage data corrections, reprocessing, and complex break/fix scenarios
Data Quality & Stewardship Enablement
- Partner with Data Governance and Stewardship teams to operationalize quality rules and exception handling
- Enable stewardship workflows for review, remediation, and approvals
- Support root cause analysis for data quality issues impacting customer records
- Ensure transparency and traceability of mastering decisions
Integration & Engineering Leadership
- Oversee development of source and downstream integrations (APIs, pipelines, ETL/ELT)
- Ensure performant, reliable data ingestion and publishing
- Lead performance tuning of matching, survivorship, and processing logic
- Provide technical leadership and mentorship to MDM engineers and analysts
Required Qualifications
- 6 10 years of experience in Master Data Management, data engineering, or data platform operations
- Hands-on experience designing and operating Customer MDM solutions
- Direct experience implementing or administering Profisee (or comparable MDM platforms)
- Strong understanding of entity modeling, match/merge logic, survivorship, and publishing patterns
- Experience managing small technical teams and operational workloads
Preferred Qualifications
- Experience mastering customer data in regulated industries (financial services, healthcare, insurance)
- Familiarity with cloud-native data stacks (Azure, Databricks, Snowflake, modern BI tools)
- Understanding of privacy concepts (PII, consent, retention, minimization) as they relate to MDM
- Experience partnering with Data Governance, Privacy, and Security functions
- Exposure to Agile delivery and product-oriented data teams
What Success Looks Like
- Customer golden records are accurate, trusted, and consistently consumed downstream
- Match and survivorship logic is transparent, explainable, and well-governed
- MDM operations are stable, monitored, and continuously improving
- New sources and enhancements are onboarded predictably and safely
- The MDM platform scales with business growth without increasing risk or manual effort
Why This Role Matters
- Customer MDM is foundational to analytics trust, customer experience, regulatory reporting, and operational efficiency. This role ensures that mastering is not just implemented but engineered, operated, and sustained as a world-class enterprise capability.