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- Tasks: Manage data needs for publishing insights and collaborate with engineering teams.
- Company: Wiley is a leading research and learning organisation with over 200 years of experience.
- Benefits: Enjoy meeting-free Fridays, professional development, fair pay, and comprehensive benefits.
- Why this job: Make an impact by driving business value from publishing data in a supportive environment.
- Qualifications: 5+ years in a tech product role, strong SQL skills, and experience with Agile methodologies.
- Other info: Work in London or Bognor Regis and engage with global teams.
The predicted salary is between 43200 - 72000 £ per year.
Job location: London or Bognor Regis, 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, including understanding of publishing data nuances, how it relates to customer and Wiley needs, and uncovering new areas for innovation and insights.
- Drives the efficient and effective delivery of business value from publishing data.
- Acts as the product owner for publishing data, including enterprise data warehouse tables, pipelines, and schemas.
- Works closely with Marketing & Publication Analytics Business Analysts, SMEs, and Product Owners to understand business and customer publishing data needs.
- Engages with stakeholders, including downstream application product managers and business owners, capturing needs & priorities, and communicating data roadmap & releases.
- Owns the publishing data product backlog for an area of publishing data, ensuring timely delivery of business value.
- Participates in delivery stand-ups, refinement, demos, and retrospectives to represent product needs and priorities.
- Communicates the business and customer context of delivery work to internal and external teams.
- Writes epics, user stories, and requirements clearly and concisely to describe business value and enable planning and delivery.
- Is accountable for the quality of publication data and informs stakeholders of data quality, changes, and trends.
- Proactively provides publication data trends and updates to business consumers.
- 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 data roadmap.
- Engages with vendors and industry standards to anticipate data changes, improve data quality, and stability.
Desired Skills:
- University degree or equivalent professional qualification.
- 5+ years’ experience in a technology product role, including roadmap and backlog ownership.
- Proven track record of delivering products or services that meet business needs.
- Experience with product management techniques and Agile ceremonies.
- Strong SQL skills and experience with data handling, analytics.
- Experience working with data engineering and architecture teams.
- Successful partnership with analysts and engineers.
- Knowledge of publishing business models and platforms.
- Ability to work under pressure and manage multiple projects.
- Strong collaboration, diplomatic, and logical skills.
- Effective in a global and matrix environment.
About Wiley:
Wiley is a leader in research and learning, committed to advancing knowledge and innovation. With over 200 years of experience, Wiley continues to evolve and empower knowledge seekers worldwide. We promote continual learning, internal mobility, and a supportive workplace environment, including benefits like meeting-free Fridays for focused work and professional development. We offer fair pay and comprehensive benefits. The salary range provided is an estimate and may vary based on various factors. Please attach your resume/CV when applying.
Data Product Owner employer: Wiley
Contact Detail:
Wiley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Owner
✨Tip Number 1
Familiarise yourself with the publishing data landscape. Understanding the nuances of publishing data and how it relates to customer needs will give you an edge in discussions with stakeholders and during interviews.
✨Tip Number 2
Brush up on your SQL skills. Since strong SQL skills are a must for this role, being able to demonstrate your proficiency in data handling and analytics will make you stand out as a candidate.
✨Tip Number 3
Network with professionals in the publishing and data product management fields. Engaging with industry experts can provide insights into current trends and challenges, which you can leverage during your application process.
✨Tip Number 4
Prepare to discuss your experience with Agile methodologies. Since this role involves product management techniques and Agile ceremonies, being ready to share specific examples from your past work will demonstrate your fit for the position.
We think you need these skills to ace Data Product Owner
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Product Owner position at Wiley. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in product management, particularly in technology roles. Mention specific projects where you've managed data needs or collaborated with engineering teams, as this is crucial for the role.
Showcase Your Skills: Make sure to include your strong SQL skills and any experience with data handling and analytics. Provide examples of how you've used these skills to deliver business value in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also demonstrates your passion for publishing data and innovation. Discuss how you can contribute to Wiley's mission and the specific impact you hope to make in the role.
How to prepare for a job interview at Wiley
✨Understand the Role
Make sure you have a solid grasp of what a Data Product Owner does, especially in the context of publishing data. Familiarise yourself with the specific responsibilities mentioned in the job description, such as managing data needs and collaborating with engineering teams.
✨Showcase Your Experience
Prepare to discuss your previous experience in technology product roles, particularly focusing on roadmap and backlog ownership. Be ready to provide examples of how you've successfully delivered products that meet business needs.
✨Demonstrate Collaboration Skills
Since this role involves working closely with various stakeholders, be prepared to talk about your collaboration experiences. Highlight instances where you've effectively partnered with analysts, engineers, and other product owners to achieve common goals.
✨Prepare for Technical Questions
Brush up on your SQL skills and be ready to discuss your experience with data handling and analytics. You might be asked to solve a problem or explain how you would approach a data-related challenge, so think through some scenarios in advance.
