We are currently recruiting for a Product Owner (Data & AI) to join our Data Team; the role will be based at our London Head Office.

The Product Owner enables and scales practical AI across Multiplex by translating strategy into a prioritised, delivery-ready backlog and driving adoption of AI-enabled products and capabilities. This includes AI-enabled solutions, with a focus on GenAI, agentic AI, and automation to improve decision-making and operational efficiency, alongside robust data and analytics foundations (e.g., semantic/data models and data-entry tools). Working with the Senior Data & AI Product Manager, the role acts as the bridge between business units and technical delivery teams, ensuring AI outcomes are supported by data access, quality, lineage, governance and pipelines. Further responsibilities will include: 

• Own and continuously refine the product backlog, ensuring it remains outcome‑focused and aligned to product strategy.
• Facilitate stakeholder decision-making across regions, manage dependencies and trade-offs; ensure clear requirements, acceptance criteria and success measures.
• Lead requirements discovery using Business Analysis techniques and translate needs into epics, user stories and acceptance criteria.
• Own scope and functional design for data and AI products ensuring consistency, reusability and readiness for AI-enabled scenarios.
• Define and progress AI enablement use cases from intake to delivery by identifying business problems suited to machine learning (ML), natural language processing (NLP)/agentic NLP, or generative AI; clarifying the problem and value hypothesis; defining success measures; supporting experimentation/prototyping; and mapping priorities into a strategic roadmap.
• Partner with architecture and the supporting data workstream to define AI requirements, data readiness needs, evaluation approach and operationalisation considerations.
• Track AI performance post-launch to identify drift and initiate retraining or fine-tuning to ensure continuous improvement.
• Coordinate and track data dependencies that enable AI to work, escalating risks and sequencing delivery so data foundations are in place ahead of AI releases.
• Support responsible and compliant delivery by capturing security, privacy and Responsible AI considerations.
• Drive product quality and acceptance by shaping UAT scenarios with the business.
• Coordinate go‑live readiness and release communication; support change adoption through training materials, release notes, and stakeholder communications.

What do you need to be successful in this role?

• Experience in Product Ownership within data, analytics, AI/automation, BI, or digital delivery (3+ years)
• Proven ability to own and prioritise backlogs and deliver measurable business outcomes
• End-to-end delivery experience across data, analytics, automation, or digital products
• Strong Business Analysis skills (requirements, workshops, process mapping, user stories, acceptance criteria)
• Working knowledge of AI/GenAI and agentic AI use cases (e.g., copilots, agents, automation)
• Ability to define AI requirements, evaluation criteria, and operational needs with technical teams
• Experience with Power BI and governed reporting environments
• Understanding of data modelling for self-service analytics (e.g., star schema, metrics, lineage)
• Experience with data privacy (e.g., GDPR) and working within governance, risk, and security frameworks
• Agile delivery experience (Scrum/Kanban) working with engineering teams.