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- Tasks: Own data product lifecycles and translate customer needs into a clear product vision.
- Company: Join Rolls-Royce, a leader in innovation and inclusivity.
- Benefits: Enjoy a safety-first environment with opportunities for continuous learning and career growth.
- Other info: Collaborate globally while thriving in a fast-paced, change-driven environment.
- Why this job: Make a real difference by driving operational efficiency and digital innovation.
- Qualifications: Experience as a Data Product Owner or Analyst with strong analytical skills.
The predicted salary is between 55000 - 65000 ÂŁ per year.
Position Summary
Take ownership of data product lifecycles, combining product owner oversight with analytical rigor to translate customer needs into a clear product vision and roadmap. The role supports a globally distributed delivery team and involves occasional international travel to synchronize efforts across regions.
Responsibilities
- Product Vision & Ownership: Define and manage the data product roadmap aligned with business objectives. Own the product backlog, ensuring priorities reflect customer needs and market trends.
- Customer & Stakeholder Engagement: Act as the primary liaison for stakeholders, transforming customer challenges and business requirements. Gather, validate, and incorporate stakeholder feedback to refine data product features. Use techniques such as Entity Relationship Diagrams to connect business process information into data products.
- Data Strategy & Analysis: Conduct business and data analysis to pinpoint opportunities for data products that drive operational efficiency and digital innovation. Utilize data‑driven insights to steer product enhancements and inform critical decision‑making.
- Technology Integration & Innovation: Leverage Microsoft Fabric and Databricks for robust and scalable data processing. Use DevOps to automate workflows and streamline data product deployments. Build advanced analytics solutions and data engineering pipelines that support continuous innovation. Champion the adoption of industry best practices and agile methodologies for continuous improvement.
- Collaboration & Global Delivery: Work closely with cross‑functional teams—data engineers, analysts, IT specialists, and regional teams—to deliver high‑quality, scalable data products on time. Coordinate with globally distributed team members; occasional international travel will be necessary to ensure seamless integration and collaboration.
- Data Governance & Compliance: Ensure all data products adhere to global governance standards, security protocols, and regulatory requirements.
- Performance Monitoring & Continuous Improvement: Define, monitor, and report on key performance indicators (KPIs) to assess data product success and drive iterative enhancements. Lead retrospectives and post‑launch reviews to continually evolve data product capabilities.
Preferred Requirements
- Demonstrated experience as a Data Product Owner or Data Business Analyst within a global, data‑driven organization. Deep understanding of modern data ecosystems and the business value of data products.
- Technical Proficiency: Hands‑on experience with Microsoft Fabric, Power Platform, DevOps, and Databricks—including integration, optimisation, and troubleshooting. Familiarity with agile methodologies and DevOps practices in rapid, iterative product development.
- Strategic & Analytical Thinking: Strong analytical skills and the ability to convert complex data insights into strategic business outcomes.
- Stakeholder & Communication Skills: Excellent interpersonal and communication skills, capable of effectively managing diverse stakeholder groups. Proven ability to lead cross‑functional teams and communicate complex technical information to non‑technical audiences. Skilled in data storytelling, capable of weaving business information into visualisations.
- Adaptability & Global Mindset: Willingness to travel internationally for collaboration with global teams. Ability to thrive in a fast‑paced, change‑driven environment while promoting continuous improvement.
Regional Benefits
- Work in a safety‑first environment where doing the right thing and keeping it simple are core principles.
- Join a culture that values making a real difference through your work.
- Develop your career as a mid‑career professional blending technical expertise with strong personal qualities.
- Thrive in a role that encourages integrity, accountability, resilience, and curiosity.
- Collaborate and build relationships in a team‑focused environment while also working independently.
- Take initiative, lead, and make smart decisions with confidence and support.
- Grow through continuous learning, openness to improvement, and exposure to challenging opportunities.
Rolls‑Royce is committed to being a respectful, inclusive, and non‑discriminatory workplace where individuality is valued, diverse perspectives fuel innovation, and everyone can thrive.
Data Product Owner employer: Rolls-royce
Contact Detail:
Rolls-royce 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 folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data product ownership. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through a portfolio! If you've worked on relevant projects, create a simple website or document that highlights your achievements and how they relate to the role of a Data Product Owner.
✨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, 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 product lifecycles and any relevant tools like Microsoft Fabric or Databricks. 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 tell us why you're passionate about data products and how you can contribute to our team. Don’t forget to mention your experience with stakeholder engagement and data strategy.
Showcase Your Analytical Skills: In your application, give examples of how you've used data-driven insights to inform decisions or improve products. We love seeing candidates who can turn complex data into actionable strategies, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at Rolls-royce
✨Know Your Data Inside Out
As a Data Product Owner, you need to be well-versed in the data products you'll be managing. Brush up on your knowledge of Microsoft Fabric, Databricks, and any relevant data ecosystems. Be ready to discuss how you've used these tools in past projects and how they can drive operational efficiency.
✨Master the Art of Stakeholder Engagement
Since you'll be acting as the primary liaison for stakeholders, practice articulating how you gather and incorporate feedback. Prepare examples of how you've transformed customer challenges into actionable product features. This will show your ability to connect with diverse groups and manage expectations effectively.
✨Showcase Your Analytical Skills
Be prepared to demonstrate your analytical thinking during the interview. Think of specific instances where you've used data-driven insights to inform product decisions. Highlight your experience with KPIs and how you've monitored product success to drive continuous improvement.
✨Emphasise Your Collaborative Spirit
Collaboration is key in this role, so come equipped with examples of how you've worked with cross-functional teams. Discuss your experience in leading retrospectives or post-launch reviews, and how you ensure seamless integration across globally distributed teams. This will illustrate your adaptability and global mindset.