At a Glance
- Tasks: Lead the development of data and AI products that drive real business value.
- Company: Join a forward-thinking tech company that values diversity and innovation.
- Benefits: Competitive salary, full benefits package, and a supportive work environment.
- Other info: Dynamic role with opportunities for growth and collaboration in an Agile setting.
- Why this job: Make a tangible impact by leveraging data to improve decision-making and efficiency.
- Qualifications: Experience as a Product Owner or Business Analyst with strong data knowledge.
The predicted salary is between 50000 - 60000 £ per year.
The Data Product Owner is responsible for defining, prioritising, and delivering data and AI-driven products that drive operational and commercial value. Working closely with the other Product Owners, they act as the bridge between business stakeholders and data/technology teams, ensuring that data, analytics, and AI initiatives are aligned to business priorities and deliver measurable outcomes. The role plays a key part in enabling the organisation to leverage data and artificial intelligence to improve decision-making, operational efficiency, and future capability.
Key Responsibilities
- Own data and AI product roadmap and strategy
- Translate business needs into a prioritised backlog
- Respond to shifting business priorities
- Manage stakeholder engagement across business and IT
- Lead Agile delivery and sprint prioritisation
- Own full lifecycle from discovery to adoption
- Ensure data quality, governance, and compliance
- Drive adoption and business change
- Track performance and value realisation
Data Quality & Governance: Ensure data reliability, security, compliance, and usability, acting as the guardian of data trust.
Accountability Accountable for delivery, adoption, and value realisation of data and AI products across the organisation.
Experience and Qualifications
- Experience as Product Owner or Business Analyst
- Strong understanding of data platforms, analytics, and emerging AI use cases
- Excellent stakeholder management and prioritisation skills
- Agile delivery experience
- Knowledge of data governance and security standards desirable
- Use of Jira for requirement documentation
Strategic Thinking: Ability to align data products with overall business goals.
Product Mindset: Focusing on outcomes (e.g., better decisions) rather than just outputs (e.g., more reports).
We offer a competitive salary based on experience along with a full benefits package.
Data Product Owner employer: Job Search Place Limited
At Network Plus, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in Worsley. Our commitment to employee growth is evident through comprehensive training programmes and opportunities to lead impactful data and AI initiatives, ensuring that every team member can thrive and contribute to meaningful outcomes. With a competitive salary and a full benefits package, we celebrate diversity and inclusivity, making us a welcoming workplace for all.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data product ownership. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience effectively.
✨Tip Number 3
Showcase your passion for data and AI during interviews. Share examples of how you've driven value through data initiatives in the past, and be ready to discuss your vision for future projects.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Data Product Owner
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience as a Product Owner or Business Analyst. We want to see how your skills align with our needs, especially in data and AI-driven products.
Showcase Your Stakeholder Management Skills:In your application, emphasise your ability to manage stakeholders effectively. We’re looking for someone who can bridge the gap between business and tech teams, so share examples of how you've done this in the past.
Highlight Agile Experience:Since Agile delivery is key for us, make sure to mention any relevant experience you have. Talk about your role in sprints and how you’ve contributed to prioritising backlogs and delivering value.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at Job Search Place Limited
✨Know Your Data Inside Out
As a Data Product Owner, you need to demonstrate a strong understanding of data platforms and analytics. Brush up on the latest trends in AI and how they can be applied to business needs. Be ready to discuss specific examples of how you've used data to drive decision-making in previous roles.
✨Master Stakeholder Engagement
Stakeholder management is key in this role. Prepare to talk about your experience in engaging with various stakeholders. Think of examples where you successfully aligned their needs with data initiatives, and be ready to explain how you prioritised their requests.
✨Showcase Your Agile Experience
Since Agile delivery is part of the job, come prepared to discuss your experience with Agile methodologies. Share specific instances where you led sprints or managed backlogs, and highlight how you adapted to shifting priorities while keeping the team focused on delivering value.
✨Demonstrate Strategic Thinking
The role requires a strategic mindset, so think about how you can align data products with overall business goals. Prepare to discuss how you've previously translated business needs into actionable data strategies, and be ready to share your thoughts on measuring success beyond just outputs.
