Data Product Owner

In this Data Product Owner role at Wiley, you drive the publishing data products that fuel analytics and decision-making across the Research business. You own the roadmap and backlog within Marketing & Publication Analytics, shaping data around manuscript submissions, peer review, bibliometrics, sales, usage, and master data. You collaborate with stakeholders and data teams to translate needs into deliverables, improve data quality, and adapt data pipelines to evolving business needs. This is a cross-functional, impact-focused role that pairs data engineering with business insight to power strategic decisions.

• meeting-free Friday afternoons
• professional development opportunities
• competitive compensation
• comprehensive benefits package

• Own the publishing data products, backlog, and delivery of data warehouse tables, schemas, and pipelines to meet business objectives
• Collaborate with stakeholders and subject matter experts to understand data needs and identify opportunities to improve publishing insights
• Translate business needs into epics, user stories, and delivery priorities, coordinating with data engineering and architecture teams in Agile
• Monitor and improve data quality and communicate changes and trends to stakeholders
• Support data governance and adoption to improve accessibility and consistency of publishing data
• Engage with internal teams, technology partners, and external vendors to anticipate data source/API changes and coordinate releases across roadmaps

• 5+ years in technology product management or product ownership with roadmaps and backlog delivery
• Experience with data products, data management, or analytics solutions delivering business value
• Strong SQL skills with structured data and data pipelines or enterprise data platforms
• Experience translating business requirements into technical deliverables with data/analytics teams
• Practical experience with Agile product management, user stories, backlog prioritization, and ceremonies
• Experience engaging with stakeholders across functions and managing competing priorities across multiple projects
• Strong communication and stakeholder management, able to explain technical concepts to varied audiences

• strong communication
• stakeholder management
• cross-functional collaboration
• SQL
• data pipelines
• data warehouses