At a Glance
- Tasks: Define and deliver data and AI products that drive real business value.
- Company: Join a forward-thinking company that values diversity and innovation.
- Benefits: Competitive salary, full benefits package, and a supportive work environment.
- Other info: Embrace a dynamic role with opportunities for growth and learning.
- Why this job: Be the bridge between business and tech, making impactful decisions with data.
- Qualifications: Experience as a Product Owner or Business Analyst with a passion for data.
The predicted salary is between 50000 - 65000 € 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)
Salary and Benefits
We offer a competitive salary based on experience along with a full benefits package.
Data Product Owner employer: Network Plus
At Network Plus, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. As a Data Product Owner, you will have the opportunity to drive impactful data and AI initiatives while benefiting from a competitive salary and comprehensive benefits package. Our commitment to diversity and inclusion, along with a focus on employee growth and development, makes us a rewarding place to build your career in a supportive environment.
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 your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal project that highlights your experience with data and AI. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by understanding the company’s data strategy. Research their products and think about how you can contribute to their goals. It’ll impress them!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are eager to join us and make an impact in the data world.
We think you need these skills to ace Data Product Owner
Some tips for your application 🫡
Know Your Stuff:Before you start writing, make sure you understand the role of a Data Product Owner. Brush up on your knowledge of data platforms, AI use cases, and Agile methodologies. This will help you tailor your application to show that you’re the perfect fit for us!
Tailor Your Application:Don’t just send a generic CV and cover letter. Highlight your experience as a Product Owner or Business Analyst and how it aligns with our needs. Use specific examples to demonstrate your stakeholder management skills and your ability to drive adoption and business change.
Showcase Your Strategic Thinking:We want to see how you can align data products with business goals. In your application, share instances where you’ve successfully translated business needs into actionable strategies. This will show us that you can think strategically and prioritise effectively.
Apply Through Our Website:Make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values.
How to prepare for a job interview at Network Plus
✨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 AI use cases and be ready to discuss how they can drive operational and commercial value for the company.
✨Master Stakeholder Engagement
Showcase your excellent stakeholder management skills during the interview. Prepare examples of how you've successfully engaged with both business and IT teams in the past, and be ready to discuss how you would manage shifting priorities.
✨Emphasise Agile Experience
Since Agile delivery is key for this role, make sure to highlight your experience with Agile methodologies. Be prepared to talk about how you've led sprints and prioritised backlogs in previous roles, using tools like Jira.
✨Think Strategically
Demonstrate your strategic thinking by aligning your answers with the company's overall business goals. Discuss how you can ensure that data products not only deliver outputs but also lead to better decision-making and measurable outcomes.
