MDM Product Owner: IV

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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