Data Product Owner

REQ Solutions
Pittsburgh, PA, United States
3 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Data Governance Data Management

Requirements

  • 7+ years of experience in Data Governance, Data Management, Data Stewardship, or related disciplines \n

  • Master data management, data modelling, data governance

Benefits & conditions

  • Expected to be able to design reports and work with engineers to embed these in analytics solutions. \n

  • Seeking experienced Data Product Owners/Data Stewards to join a strategic enterprise data transformation initiative focused on establishing a new data infrastructure and governance framework. \n

  • Will play a critical role in defining, managing, and governing enterprise data assets while ensuring alignment between business stakeholders and technology teams. \n

  • Responsible for developing and enforcing data standards, stewardship processes, quality controls, and governance practices across key business domains. \n

  • The ideal candidates will possess deep expertise in data management disciplines and the ability to partner effectively with both business and technical stakeholders. \n

  • Define and maintain data standards, business rules, ownership models, and data quality controls \n

  • Lead data mapping activities across new and existing data platforms \n

  • Partner with business stakeholders to understand requirements and translate them into actionable technical specifications \n

  • Collaborate with architects, developers, and engineering teams to ensure accurate implementation of data solutions \n

  • Develop and manage data quality contracts and governance processes \n

  • Support Master Data Management (MDM) initiatives across critical domains like Clients, Products & Securities \n

  • Define and document data lineage, metadata, and business glossaries \n

  • Facilitate governance discussions and drive resolution of data quality and ownership issues \n

  • Present recommendations and governance outcomes to business and technology stakeholders \n

  • Support the implementation and adoption of enterprise data governance tools and processe \n

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