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Data Product Owner

Wiley
London, GBR
Full-time
Onsite
Discovered 4 days ago
Data product ownershipProduct roadmaps and backlog prioritizationSQLStructured dataData pipelinesEnterprise data platforms

Full Job Posting

Role overview

Own roadmap, prioritization and delivery for publishing data products within Enterprise Data & Analytics.

Products cover manuscript submissions, peer review, bibliometrics, sales, usage and master data.

Collaborate globally with business stakeholders, analysts, product owners and data engineering teams.

Work with the Director, Data Product, external partners and technology providers to improve data quality and pipelines.

Responsibilities

  • Manage publishing data-product roadmaps, prioritized backlogs and delivery of data warehouse tables, schemas and pipelines.
  • Understand data needs and identify opportunities to improve publishing insights and decision-making.
  • Translate business needs into epics, user stories and priorities and coordinate delivery through Agile processes.
  • Monitor data quality and production reliability; identify issues and communicate changes, trends and impacts.
  • Support data governance, accessibility, consistency and adoption.
  • Anticipate changes to data sources and APIs, improve data pipelines and coordinate releases across product and technology roadmaps.

Required qualifications

  • 5+ years in technology product management or product ownership, including roadmap, backlog and delivery responsibility.
  • Experience with data products, data management or analytics solutions.
  • Strong SQL and experience with structured data, pipelines or enterprise data platforms.
  • Experience translating business requirements into technical deliverables with data engineering, architecture and analytics teams.
  • Practical Agile product-management experience, including user stories, backlog prioritization and ceremonies.
  • Experience managing stakeholders, competing priorities and delivery across projects.
  • Strong communication and stakeholder-management skills; able to explain technical concepts to varied audiences.

Preferred qualifications

  • Experience in academic publishing, scholarly communications or related information services.
  • Familiarity with publishing workflows and data such as manuscript submissions, peer review, bibliometrics, sales or content usage.
  • Python experience for data analysis, automation or processing.
  • Familiarity with AI agents in data management or analytics workflows.
  • Experience with vendors, data providers or third-party integrations, and global or matrix organizations.

About Wiley

Wiley describes its work as advancing science, education and publishing and transforming knowledge into impact.

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