At a Glance
- Tasks: Lead the development of 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 collaboration.
- 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).
Salary and Benefits
We offer a competitive salary based on experience along with a full benefits package.
Data Product Owner employer: Go Traffic Management 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 continuous learning opportunities and a supportive environment that values diversity and inclusion. With a competitive salary and comprehensive benefits package, we empower our Data Product Owners to drive impactful data and AI initiatives that enhance decision-making and operational efficiency.
Contact Detail:
Go Traffic Management Limited Recruiting Team
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. The more you engage with others, the better your chances of landing that Data Product Owner role.
✨Tip Number 2
Showcase your skills! Create a portfolio or case studies that highlight your experience with data products and AI initiatives. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and stakeholder management. Be ready to discuss how you've prioritised backlogs and delivered value in previous roles. We want to see your strategic thinking in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Product Owner
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Product Owner role. Highlight your experience with data platforms, analytics, and any AI projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how you can help us drive operational and commercial value. Keep it engaging and relevant to the job description.
Showcase Your Stakeholder Management Skills:In your application, don’t forget to mention your experience in managing stakeholders. 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.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Go Traffic Management 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 showcase your prioritisation skills.
✨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 ensured that projects stayed aligned with business priorities.
✨Emphasise Data Quality and Governance
Being the guardian of data trust means you need to understand data quality and governance standards. Prepare to discuss how you've ensured data reliability and compliance in past projects. This will show that you take accountability seriously and are ready to uphold the organisation's data integrity.
