AI - Senior Product Owner
Location: London - Hybrid – 2 days per week onsite
Start Date: ASAP
Contract Rate: £500 per day inside IR35
Duration: 6 months initially
Role Overview
Our client is seeking a Senior AI Product Owner to lead the vision and delivery of next‑generation AI products across a rapidly evolving digital landscape. You’ll shape intelligent solutions using LLMs, generative AI, cloud‑native platforms, and MLOps—driving measurable business outcomes while embedding responsible AI practices. This role sits at the heart of innovation, translating complex AI capability into high‑value, production‑ready products.
Key Responsibilities
* Define AI product requirements, user stories, and acceptance criteria.
* Lead end‑to‑end delivery from discovery to scaled adoption.
* Work closely with AI engineers, data scientists, architects, and business teams.
* Embed ethical and responsible AI principles across decisions.
* Engage customers and stakeholders to validate opportunities.
* Manage and prioritise a dynamic backlog and value‑driven roadmap.
* Assess emerging AI tech including LLMs, GenAI, and automation.
* Communicate plans, risks, and progress to senior leadership.
* Ensure deployment readiness with engineering, security, and support teams.
* Foster innovation, experimentation, and continuous improvement.
Skills & Experience
Essential
* 9+ years’ senior Product Ownership delivering complex digital/AI products.
* Strong expertise in GenAI, LLMs, RAG, decision intelligence, and agentic AI.
* Deep knowledge of banking processes and customer journeys.
* Strong AI model lifecycle understanding: validation, monitoring, live support.
* Proven application of Responsible AI (fairness, transparency, bias mitigation).
* Knowledge of FCA, PRA, GDPR, and model risk requirements.
* Ability to translate regulatory needs into product features.
* Agile/SAFe delivery experience and prioritisation leadership.
* Excellent stakeholder management across business, tech, risk, and data teams.
Desirable
* Experience with cloud‑native AI platforms (GCP preferred).
* Strong data‑driven mindset with value metrics expertise.
* Ability to manage technical and data interdependencies.
* Experience collaborating with third‑party AI partners.
* Solid understanding of ML concepts, experimentation, and MLOps.
* Familiarity with GenAI, predictive analytics, and automation tools.
* Ability to translate technical AI capabilities into product value.
* Knowledge of AI scalability, model monitoring, and governance.
If you have the relevant skills and experience, please do apply promptly to be considered
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