MDM Product Owner: IV
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Robert Half
Mequon, WI (In Person)
Full-Time
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Job Description
Description We are looking for an experienced Master Data Management (MDM) Product Owner to join our team in Mequon, Wisconsin. In this long-term contract position, you will play a pivotal role in designing, deploying, and managing enterprise-level customer data mastering solutions using Profisee. This role offers the opportunity to lead a team of engineers and analysts while collaborating with stakeholders across governance, engineering, privacy, and business areas to ensure high-quality data solutions that support analytics, reporting, and regulatory requirements.
Responsibilities:
- Design and implement customer data mastering solutions aligned with enterprise architecture standards using Profisee.
- Define entity models, attributes, hierarchies, and relationships to support customer data mastering processes.
- Develop match/merge rules, survivorship logic, and strategies for creating trusted golden records.
- Administer Profisee platform configurations, manage environments, and oversee release lifecycles.
- Monitor daily operations, address incidents, and manage defect resolution to ensure platform reliability.
- Collaborate with Data Governance teams to establish quality rules, workflows, and exception handling processes.
- Lead the development and maintenance of source and downstream integrations, ensuring data ingestion and publishing performance.
- Oversee platform upgrades, patches, and configuration changes to ensure scalability and availability.
- Provide technical leadership and mentorship to engineers and analysts, fostering a culture of excellence.
- Partner with cloud and infrastructure teams to optimize platform performance and scalability. Requirements
- 6-10 years of detail-oriented experience in Master Data Management, data engineering, or platform operations.
- Proven expertise in designing and operating customer mastering solutions, with hands-on experience using Profisee.
- Strong knowledge of entity modeling, data governance, and integration architecture principles.
- Proficiency in managing platform configurations, upgrades, and environment lifecycles.
- Experience with data quality rules, stewardship workflows, and exception handling processes.
- Advanced skills in API development, data pipelines, and integration engineering.
- Strong leadership abilities with experience mentoring teams and managing stakeholder relationships.
- Familiarity with cloud technologies and security controls in enterprise environments.
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