Product Owner (Data & AI) / AI Product Manager

Product Owner (Data & AI) / AI Product Manager - London (Hybrid)

Generative AI - Data & Analytics - Power BI - Agile - Digital Transformation - up to £90,000

We’re partnering with a highly respected global organisation investing heavily in its Data & AI capabilities as part of an ambitious digital transformation programme. This is an opportunity to join a business where technology is a strategic priority, giving you the chance to influence how AI, automation and data products are adopted across an international operation. You’ll be joining a collaborative, forward‑thinking technology team delivering innovative solutions that improve decision‑making, operational efficiency and business performance.

If you’re passionate about AI and enjoy turning business challenges into scalable technology solutions, this role offers a fantastic opportunity to drive meaningful change while working with some of the latest developments in Generative AI, AI Agents and intelligent automation.

Responsibilities

• Own, prioritise the Data & AI product backlog.
• Translate requirements into epics, user stories, acceptance criteria.
• Partner with stakeholders across multiple regions.
• Deliver AI‑enabled products including GenAI, AI Agents, NLP, automation, analytics.
• Shape AI use cases from concept through delivery.
• Define requirements, data readiness, evaluation criteria, operational needs.
• Drive data quality, governance, lineage, accessibility.
• Support experimentation, innovation, continuous improvement.
• Work within Agile Scrum, Kanban environments.

Benefits

• Salary up to £90,000.
• Discretionary annual bonus.
• 8% employer pension contribution.
• Enhanced parental leave.
• Extensive learning and development opportunities.
• Clear career progression pathways.
• Flexible and hybrid working arrangements.

Key Experience

• 3+ years Product Owner experience within Data, AI, Analytics, BI, Automation, Digital Products.
• Proven backlog ownership delivering measurable outcomes.
• Strong Business Analysis skills including workshops, requirements gathering, process mapping, user stories, acceptance criteria.
• End‑to‑end delivery experience across data, analytics, automation, digital products.
• Knowledge of Generative AI, AI Agents, Machine Learning, NLP.
• Experience defining AI requirements, success measures.
• Power BI experience within governed reporting environments.
• Understanding of data modelling, metrics, lineage, self‑service analytics.
• Knowledge of GDPR, governance, risk, security frameworks.
• Agile delivery experience (Scrum, Kanban).
• Strong stakeholder management, communication skills.

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