Directed the project team supporting a critical UK Defence partnership in implementing its AI Strategy, focusing on concept development, reporting directly to the CTO.
Owned the end-to-end product lifecycle for a suite of AI solutions designed to enhance analytical capability.
Led user requirement sessions to capture evolving needs, define product roadmap and success metrics in alignment with strategic objectives, ensuring all deliverables met operational, compliance, and policy standards.
Managed the product backlog and prioritised features based on stakeholder input, user feedback, and business value, using Agile methodologies and tools including Jira and Confluence.
Partnered with cross-functional teams of data scientists and software engineers to convert users’ business requirements into technical AI models (TRL 6).
Monitored emerging AI technologies to identify opportunities for product enhancement.
Acted as the primary liaison between technical teams and C-suite stakeholders—translating complex AI and data science concepts into clear, actionable insights to support strategic decision-making.
Facilitated sprint planning, reviews, and retrospectives, ensuring transparency, alignment, and timely delivery of milestones across multiple workstreams.
Advocated for user needs and adoption, leading the development of an Operational AI Engagement Framework to scale awareness and ensure business alignment.
Outcome: Delivered 7 UAT-approved AI proof-of-concepts, improving analyst efficiency by up to 80%. Increased AI engagement-reach tenfold across the organisation, secured £2M+ in follow-on contracts, and expanded the programme team threefold. Commended by the CTO for excellence in delivery and stakeholder management.
Skills: Consulting · Large Language Models (LLM) · Concept Development · Product Management · Artificial Intelligence (AI) · Requirements Engineering
- AI Strategy Consultant