Data Product Owner

Data Product Owner

Full-Time 60750 - 74250 £ / year (est.) Hybrid
J

At a Glance

  • Tasks: Lead the development of data products that drive insights and decision-making in publishing.
  • Company: Join Wiley, a leader in transforming knowledge into impactful discoveries.
  • Benefits: Enjoy competitive pay, flexible work hours, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on continuous learning and career advancement.
  • Why this job: Make a real impact in science and education while working with innovative data solutions.
  • Qualifications: 5+ years in product management with strong SQL skills and Agile experience.

The predicted salary is between 60750 - 74250 £ per year.

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what’s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what’s next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

As a Data Product Owner at Wiley, you will play a key role in ensuring our Research business has access to high-quality publishing data that supports insights, analytics and informed decision-making. Working within the Marketing & Publication Analytics function, you will own the roadmap, prioritisation and delivery of publishing data products, covering areas such as manuscript submissions, peer review, bibliometrics, sales, usage and master data. You will collaborate with business stakeholders, analysts, product owners and data engineering teams across our global organisation to translate business needs into clear technical requirements and deliver measurable value. You will also work closely with the Director, Data Product, external partners and technology providers to improve data quality, strengthen data pipelines and ensure our data products continue to meet evolving business needs.

Job Responsibilities

  • Own and manage publishing data products, including the roadmap, prioritised backlog and delivery of data warehouse tables, schemas and pipelines, ensuring they support business objectives and deliver value.
  • Collaborate with business stakeholders, analysts, subject matter experts and product teams to understand data needs, define requirements and identify opportunities to improve publishing insights and decision-making.
  • Translate business needs into clear delivery requirements, including epics, user stories and priorities, working closely with data engineering and architecture teams to plan, coordinate and track delivery through Agile processes.
  • Monitor and improve data quality, ensuring the reliability and stability of production publishing data, identifying potential issues and proactively communicating changes, trends and impacts to stakeholders.
  • Support data governance and adoption, partnering with analytics product owners and business teams to improve the accessibility, consistency and effective use of publishing data across Wiley.
  • Engage with internal teams, technology partners and external vendors to anticipate changes to data sources and application programming interfaces (APIs), improve data pipelines and coordinate releases across wider product and technology roadmaps.

Required Qualifications

  • 5+ years of experience in a technology product management or product ownership role, including responsibility for product roadmaps, backlog prioritisation and delivery.
  • Demonstrated experience working with data products, data management or analytics solutions to deliver business value.
  • Strong SQL skills and experience working with structured data, data pipelines or enterprise data platforms.
  • Experience collaborating with data engineering, data architecture and analytics teams to translate business requirements into technical deliverables.
  • Practical experience applying Agile product management methodologies, including writing user stories, prioritising backlogs and participating in Agile ceremonies.
  • Experience engaging with stakeholders across different business functions, managing competing priorities and coordinating delivery across multiple projects.
  • Strong communication and stakeholder management skills, with the ability to explain technical concepts to both technical and non-technical audiences.

Preferred Qualifications

  • Experience working within academic publishing, scholarly communications or a related information services industry.
  • Familiarity with publishing workflows, platforms and data, including manuscript submissions, peer review, bibliometrics, sales or content usage.
  • Experience using Python for data analysis, automation or data processing.
  • Familiarity with AI agents and their application to data management or analytics workflows.
  • Experience working with external technology vendors, data providers or third-party integration partners.
  • Experience working within global, cross-functional or matrix organisations.

We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing—creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance.

We are proud that our workplace promotes continual learning and internal mobility. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles in the United Kingdom, Canada, USA, Austria, Czechia, Denmark, France, Greece, Italy, Netherlands, Romania, or Spain. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.

When applying, please attach your resume/CV to be considered.

Salary Range: 40,200.00 GBP to 57,533.33 GBP

Summary Location: London, GBR; Oxford, GBR; Bognor Regis, GBR Type: Full time

Data Product Owner employer: John Wiley & Sons

At Wiley, we are dedicated to fostering a culture of innovation and collaboration, where your contributions directly impact the future of science and learning. As a Senior Director in Business Operations, you will lead a dynamic team, benefiting from our commitment to professional development and a supportive work environment that prioritises employee well-being. With unique perks like meeting-free Friday afternoons and a comprehensive benefits package, Wiley is an exceptional employer for those seeking meaningful and rewarding careers.

J

Contact Details:

John Wiley & Sons Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Product Owner

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like John Wiley & Sons!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Product Owner at John Wiley & Sons.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like John Wiley & Sons.

✨Apply Directly through Our Website

When you find a suitable opening like Data Product Owner at John Wiley & Sons, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Product Owner

Product Management
Data Management
Analytics Solutions
SQL
Data Pipelines
Agile Methodologies
User Story Writing

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at John Wiley & Sons, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at John Wiley & Sons. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at John Wiley & Sons

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at John Wiley & Sons!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.