Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Product Owner

Wiley
UK
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - GenAI

Data science - Geology

Data Engineer II - Decision Analytics

Senior Data Engineer - 6 month FTC

Lead Data Scientist - Data Cloud Acceleration

Director Data Engineering

Job location: London, Bogner, UK Company: Wiley About the role: As a Data Product Owner, you will manage Research business teams' data needs related to publishing insights and decision intelligence, and work with engineering teams to deliver those needs. You will facilitate conversations with stakeholders including analysts, subject matter experts (SMEs), product teams such as Wiley Online Library, Wiley Journal Insights, Research Exchange, colleagues in Wiley, Atypon, Hindawi to understand business needs. You will work directly with data engineering teams in Sri Lanka, the US, managing priorities and providing requirements. You will work with external vendors and solutions providers to enhance data & data pipelines. The Data Product Owner will collaborate with stakeholders to generate and elaborate on business requirements, set priorities within the Research Data Product Roadmap, and track work through to completion, giving due consideration to related and dependent projects. This position is critical for the overall management, planning and delivery of business benefit generated from publishing data. You will own the roadmap for one or more areas of publishing data such as submissions, peer review, bibliometrics (publication trends and citation patterns), sales, usage data and master data. You will have a vested interest in the use and application of this information, close contact with analytics product owners, and business consumers. You will proactively provide information and updates on trends in the data, data quality, and anticipated changes that may impact them. How you will make an impact: Develops subject matter expertise for publishing data. This will include a deep understanding of publishing data and its nuances, how the data relates to customer and Wiley needs, uncovering new areas for innovation and insights. Drives the efficient and effective delivery of business value from publishing data. Is the product owner for publishing data including the enterprise data warehouse tables, pipelines and schemas that support them. Works closely with the Marketing & Publication Analytics Business Analysts, SMEs, and Product Owners to understand business and customer publishing data needs. Engages with business stakeholders, including downstream application product managers and business owners, capturing business and customer needs & priorities, communicating data roadmap & releases. Owns the publishing data product backlog for an area of publishing data (such as usage or bibliometrics), ensuring timely delivery of business value. Represents product needs and provides prioritization within delivery stand-ups, refinement, demos, retros (as required.) Communicates the business and customer context of delivery work to Wiley internal, partners (such as Atypon, eJournal Press) and external delivery teams. Write epics, user stories, requirements efficiently, concisely and clearly so as to effectively describe business value and priority, and enable planning, backlog management and delivery. Is accountable for the quality of the production publication data. Is responsible for informing stakeholders of the quality of data, planned and unplanned changes and other trends observed in publication data. Proactively provide business consumers with publication data trends, information and updates. Drives adoption of governance, change management, and data cataloguing. Works with the Snr. Data Product Manager to manage publication data product releases within the broader Marketing & Publication Analytics data roadmap, product roadmap and Wiley product & programs. Engages with vendors, colleagues, industry standards to anticipate upstream API or data changes, improve publication data quality and stability. Desired Skills: University degree or equivalent professional qualification. 5 years' or equivalent experience in a technology product role including roadmap and delivery backlog ownership. Track record of delivering products or services to meet business needs. Experience applying product management techniques and participating in Agile ceremonies. Direct experience with data handling, analytics, including strong SQL skills. Experience working with data engineering, data architecture teams. Track record of success in partnering with high-performing team of analysts, engineers. Familiarity with publishing business models and services. Broad understanding of publishing platforms and data. Ability to work under pressure while managing multiple projects. Excellent communication skills. Strong collaboration skills, diplomatic and logical. Works effectively in a global and matrix environment. About Wiley: Wiley is a trusted leader in research and learning, our pioneering solutions and services are paving the way for knowledge seekers as they work to solve the world's most important challenges. We are advocates of advancement, empowering knowledge-seekers to transform today's biggest obstacles into tomorrow's brightest opportunities. With over 200 years of experience in publishing, we continue to evolve knowledge seekers' steps into strides, illuminating their path forward to personal, educational, and professional success at every stage. Around the globe, we break down barriers for innovators, empowering them to advance discoveries in their fields, adapt their workforces, and shape minds. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers and learning champions all while striving to support the health and well-being of all employees, for example we offer meeting-free Friday afternoons allowing more time for heads down work and professional development. 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 either in the UK, Canada or USA. 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. Wiley proactively displays target base pay range for UK, Canada and USA based roles. When applying, please attach your resume/CV to be considered. LI-RG1 Location/Division: United Kingdom Job Requisition: R2401709 Remote Location: Yes Time Type: Full Time Target Base Pay Range: £38,600 - £55,267

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.