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- Tasks: Lead the roadmap for data and AI products, driving impactful decisions.
- Company: Join a major UK organisation on a transformative journey.
- Benefits: Bonus scheme, private medical cover, generous holiday allowance, and wellness support.
- Other info: Flexible working environment focused on personal development and wellbeing.
- Why this job: Shape future customer experiences with data and AI in a dynamic environment.
- Qualifications: Experience in product ownership within data or AI, strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Join a major UK-facing organisation on a large-scale transformation journey, where data and AI are central to shaping future customer experiences. This role plays a key part in driving smarter decisions and delivering meaningful impact at scale.
What You’ll Be Doing:
- Own and manage the roadmap for a suite of data, BI and AI products, ensuring alignment with wider business goals
- Lead and support a cross-functional delivery team, setting best practice across agile and waterfall approaches
- Prioritise and maintain a dynamic backlog of initiatives, balancing quick wins with long-term strategic projects
- Work closely with stakeholders across marketing, finance and operations to translate business needs into actionable deliverables
- Oversee end-to-end delivery of analytics projects, from scoping through to deployment and user adoption
- Ensure high standards of data quality, governance and compliance across all outputs
- Drive a data-led culture by promoting self-service analytics, training and user engagement initiatives
- Coordinate internal teams and third-party partners to ensure efficient and effective delivery
Main Skills Needed:
- Strong experience in product ownership and delivery within data, analytics or AI environments
- Confident working with agile or hybrid delivery methodologies
- Hands-on experience with tools such as Jira, Confluence and reporting platforms like Power BI
- Solid understanding of data engineering, analytics and insight generation
- Ability to lead, mentor and bring teams together to deliver high-quality outcomes
- Excellent communication skills, with the ability to simplify complex technical concepts
- Awareness of data governance, privacy and regulatory considerations
- Relevant certifications (Agile, Scrum, PRINCE2 or similar) are advantageous
What’s in It for You:
- Bonus scheme and matched pension contributions
- Private medical cover and life assurance
- Generous holiday allowance plus additional wellbeing days
- Enhanced parental leave policies
- Wellness allowance and access to fitness and nutrition support
- Financial coaching and wellbeing resources
- A strong focus on personal development, learning and progression
- Flexible, inclusive working environment with a genuine focus on wellbeing
Call to Action:
Curious? Apply now — or grab five minutes with us to hear more. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Data Product Owner employer: Addition
Contact Detail:
Addition 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 events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data product ownership. We recommend role-playing with a friend to boost your confidence!
✨Tip Number 3
Showcase your skills! Create a portfolio of projects or case studies that highlight your experience with data, analytics, and AI. This will make you stand out during interviews.
✨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 Application: Make sure to customise your CV and cover letter to highlight your experience in product ownership, data, and AI. We want to see how your skills align with the role of Data Product Owner, so don’t hold back on showcasing your relevant achievements!
Showcase Your Communication Skills: Since this role involves working closely with various stakeholders, it’s crucial to demonstrate your excellent communication abilities. Use clear and concise language in your application to show us you can simplify complex concepts effectively.
Highlight Your Methodology Experience: Mention your hands-on experience with agile or hybrid delivery methodologies. If you've worked with tools like Jira or Confluence, make sure to include that too! We love seeing candidates who are familiar with the processes we use.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at Addition
✨Know Your Data Inside Out
As a Data Product Owner, it's crucial to have a solid grasp of the data landscape. Familiarise yourself with the specific data products and analytics tools mentioned in the job description, like Power BI and Jira. This will not only help you answer technical questions confidently but also demonstrate your genuine interest in the role.
✨Showcase Your Agile Experience
Since the role involves working with agile methodologies, be prepared to discuss your past experiences in agile environments. Share specific examples of how you've led cross-functional teams and managed backlogs. This will highlight your ability to adapt and thrive in dynamic settings, which is key for this position.
✨Communicate Clearly and Effectively
Excellent communication skills are a must for this role. Practice simplifying complex technical concepts into layman's terms. During the interview, focus on how you can bridge the gap between technical teams and stakeholders, ensuring everyone is on the same page regarding project goals and deliverables.
✨Demonstrate a Data-Led Mindset
This role is all about driving a data-led culture. Be ready to discuss how you've previously promoted self-service analytics or engaged users in data initiatives. Sharing your vision for fostering a data-driven environment will show that you're aligned with the company's goals and ready to make an impact.