Start Date
Immediate
Expiry Date
04 Jul, 25
Salary
0.0
Posted On
04 Apr, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Clarity, Classification, Data Science, Technical Discussions, Management Skills, It, Matching
Industry
Information Technology/IT
We are currently looking a Technical Product Owner, to work in our Cardiff Bay office.
You will be expected to attend the office 50% of the working week, to align with our hybrid working policy.
SKILLS AND QUALIFICATIONS
• Proven experience as a Technical Product Owner or similar role in a data-driven or algorithm-focused team.
• Some familiarity with identity resolution, but what’s most important is a strong understanding of how data science can be used to improve complex decision-making processes like matching and classification.
• Confidence in working closely with engineering and data science teams, able to take part in technical discussions and understand the implications of algorithmic choices.
• Excellent communication and stakeholder management skills – you’re comfortable explaining why a data-driven approach might diverge from an initial request, and you can do it with clarity and conviction.
• The ability to own the delivery pipeline – managing priorities, organising work, and ensuring smooth, effective execution.
• A growth mindset – eager to improve, challenge assumptions, and build systems that genuinely move the needle.
• Own the roadmap – Define and prioritise the product vision and backlog for our identity resolution capability, with a clear focus on data-led decisions and outcomes.
• Champion delivery – Manage the team’s ADO (Azure DevOps) board and delivery processes to ensure the team stays focused and effective.
• Lead with insight – Work closely with engineers and data scientists to deeply understand our matching models and methodologies – and steer implementation based on real performance and measurable improvements.
• Balance business needs – Partner with stakeholders to understand their goals, while guiding them toward solutions that are backed by data, evidence, and real-world feasibility.
• Push the boundaries – Explore the use of AI, machine learning, and advanced data techniques to continuously improve and evolve our matching capabilities.
• Support future vision – Help set the stage for a future where Search and Match are unified, enabling a more scalable and intelligent platform.
The responsibilities detailed above are not exhaustive and you may be requested to take on additional responsibilities deemed as reasonable by their direct line manager.