Digital Product Owner

• Product ownership / business analysis: 5+ years’ experience as a Product Owner, Product Manager, or Senior Business Analyst delivering digital products using Agile/Scrum (story writing, backlog management, refinement, stakeholder facilitation).
• Innovation-driven delivery experience: Demonstrated ability to operate in innovation‑driven environments where scope evolves iteratively, tools and approaches change rapidly, and teams learn through incremental delivery—while maintaining delivery discipline, governance, and clear outcomes.
• Requirements to delivery: Proven ability to translate ambiguous business needs into implementable epics/features/user stories with clear acceptance criteria; manage priorities and support delivery execution in collaboration with engineering teams.
• Technical fluency: Strong working understanding of modern digital delivery concepts (e.g., APIs, cloud services, identity/access, DevOps basics) sufficient to collaborate effectively with engineers and architects.
• Security-by-design awareness: Demonstrated experience embedding non-functional requirements (security, privacy, compliance, availability, auditability) into backlogs and delivery plans; ensuring these are reflected in stories and acceptance criteria.
• Communication & facilitation: Strong ability to engage both business and technical stakeholders, run effective refinement sessions, and drive alignment on scope, dependencies, and release expectations.

Preferred/Bonus 

• AI delivery context: Experience with Copilot Studio and/or Azure AI Foundry delivery contexts (especially AI agents, chatbots/copilots, and AI-enabled workflow solutions).
• Agentic / AI-assisted delivery methods: Familiarity with agentic delivery concepts and structured documentation/requirements approaches (e.g., BMAD or similar).
• Enablement / CoE models: Experience supporting Center of Expertise (CoE) enablement and governance models (citizen development, adoption, guardrails, training assets, “safe zone” approaches).
• Outcome measurement: Experience defining and tracking lightweight product KPIs (adoption/usage, cycle time, quality indicators) and using these metrics to prioritise and refine backlogs