Senior Product Owner - Data & AI

Your Role in Our Story:

This position is currently open exclusively to existing ACT employees as part of our internal career opportunities. We encourage colleagues who are interested in taking the next step in their career at ACT to apply.

In essence, your role involves:

Product Direction & Value Ownership

• Shape and communicate the vision and roadmap for assigned Data & AI products and use cases within ACT's strategy and the priorities set by the COO, informed by user evidence, client needs and commercial objectives.
• Make backlog and scope trade-off decisions within assigned products and prepare evidence-based build / buy / partner / scale / stop recommendations and benefits cases for approval through portfolio governance.

Backlog, Delivery & Lifecycle Management

• Own and prioritise the product backlogs, translating stakeholder and user needs into clear requirements, user stories and acceptance criteria, and connecting business requirements with data and technology dependencies.
• Manage the full product lifecycle across discovery, delivery, launch, adoption, optimisation and retirement, maintaining clear business ownership, success measures and adoption plans.
• Drive Agile delivery and continuous improvement by supporting teams, refining workflows, and ensuring quality, compliance, and performance standards.
• Monitor product performance and realised value using KPIs, adoption data, and feedback, and report progress, risks, and outcomes to the COO and governance forums.

Stakeholder, Governance & Partner Management

• Act as the primary point of contact for assigned products, aligning stakeholders across trading, operations, finance, and client-facing teams, managing dependencies, resolving blockers, and escalating material conflicts.
• Apply Data & AI, product governance, and responsible-AI standards in collaboration with Data Governance, Architecture, Risk, Legal, and Security, and raise gaps or required changes.
• Coordinate the day-to-day work of external service providers on assigned products, and ensure knowledge is transferred to ACT teams.

Capability Building

• Contribute to the Data & AI Hub’s product-led ways of working by documenting roles, processes, and hand-offs for assigned products, developing reusable methods, sharing expertise, and coaching colleagues.

Your Expertise:

To be successful in this role, we are looking for candidates with the following qualifications and attributes:

• A bachelor/master’s degree in business, Economics, Information Management, Information Systems, Computer Science, Engineering or a related analytical discipline.
• Strong product ownership expertise applying Agile frameworks to deliver customer-centric digital products, including discovery, outcome definition, backlog prioritization and product lifecycle management, and familiarity with product and data governance
• Proven ability to define product vision, roadmaps, and prioritized backlogs aligned with business value
• Solid business and domain understanding, combined with working data and AI literacy, to translate strategic, regulatory, and responsible-AI requirements into actionable product decisions
• Confident decision-maker with strong prioritization, negotiation, and stakeholder alignment skills
• Effective communicators across business, technical, and vendor stakeholders, able to explain complex information clearly, share expertise, and coach colleagues
• Data-driven, resilient professional with strong accountability and continuous-improvement mindset

Performance of the Senior Product Owner – Data & AI is evaluated across four key dimensions:

1. Product Value Delivery: Consistently delivers product increments that provide measurable value and user adoption, with value realised against benefits cases, contributing directly to business objectives.
2. Execution & Delivery Quality: A well-maintained backlog, timely decision-making, and predictable delivery cycles with minimal rework, in line with agreed governance and responsible-AI standards.
3. Stakeholder & Team Collaboration: Trusted partner to stakeholders and a strong collaborator with delivery teams, ensuring shared understanding and alignment, including effective knowledge transfer from external service providers to ACT teams.
4. Leadership, Ownership & Behavioural Competencies: Shows strong product leadership without formal authority, consistently applies and improves product practices within the Data & AI Hub, and models behaviour that supports an agile, learning-oriented culture.

If you meet these criteria and are ready to contribute your expertise to a dynamic and challenging environment, we encourage you to apply.