Product Owner- Data Science

At Wiley, we welcome you for who you are, the background you bring, and embrace people who get excited about learning whether online or by book. Learning is for everyone, and so is our workplace. Bring your experiences, your perspectives, and your passion. It’s in our differences that we empower the way the world learns. 

We are experts in career technology. We have been providing job board and recruitment technology to our clients since 2000, working with the world’s leading media brands and organisations in 10 languages and 14 countries. Madgex (a Wiley brand) as offices based across the globe and has been named in The Sunday Times 100 Best Companies to Work for and Great Places to Work. 

Following our large investment in data science over the last four years we’re looking for a Product Owner to come on board and help us complete our journey of putting data at the heart of our products and business. Sitting on one of the largest recruitment data sets our Data Team have been the driving force behind new products and insight into the recruitment industry, allowing us to build data driven products that deliver real value to our customers.

How you will make an impact:

  • We’re looking for a Product Owner to join this team to provide management to the team to ensure we’re providing solutions, insights and services across the business to solve business problems and power product ideas.  

  • You’ll own the product release map, developer scope and define backlog items (epic/features/user stories). 

  • Solve product related problems, make choices and complete trade-off analysis to ensure we stay on track.

  • Acting as a manager of the team you’ll be agreeing the objectives with the Product Innovation Lead and CTO and linking these together with the team, ensuring they understand the vision and goals of what is needed.

We are looking for people who:

  • We’re looking for someone with experience in managing data teams, products or platforms, preferably with integrated Machine Learning or Data Science pipelines (you do not need to be able to write code). 

  • Someone who is happy working in the detail and understands data in a commercial setting. You need to be able to co-ordinate and organise the teams, whilst being managing stakeholders and their expectations through clear product planning and stakeholder communication.

  • You have excellent interpersonal skills and can work with people across many different disciplines.  Building those relationships to understand what each person needs to ensure that they understand what is required to deliver the roadmap.

  • Whilst you won’t necessarily need to be a fluent Data Scientist you need to have a solid understanding of the maths and be able to support/challenge and help move the team forward in their thinking, bridging the gap between the theory and the commercial application.

  • Experience in solving problems and/or building products based on AI/ML and Big Data.

  • 2/3 years building data projects and answering commercial/product question with data.

  • Worked with JIRA and other agile planning tools

  • Deep understanding of agile methodologies especially with experience of working with development teams in a scrum flow.

  • Able to write clear user stories that capture the value, reason and goal of what is being achieved.

  • Demonstrable roadmap planning of a product, able to breakdown goals to deliver fast iterative progressing with measurable value at each release.

About Wiley:

We are in one of the most dynamic periods in our history as technology, globalism, and economic diversity create far-reaching changes in the world. As a learning business, Wiley makes meaningful contributions to research discovery and lifelong learning by helping organizations achieve their goals and people achieve success from education through their careers. We may have been founded over two centuries ago, but our secret to success remains the same: change with the times and adapt to meet the ever-evolving needs of our customers. The company’s headquarters are in Hoboken, New Jersey, with operations in the U.S., Europe, Asia, Australia, and Canada. 

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