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For Companies At a Glance
- Tasks: Lead the vision and delivery of next-gen AI products in a dynamic environment.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Why this job: Shape intelligent solutions and drive impactful business outcomes with cutting-edge AI technology.
- Qualifications: 9+ years in Product Ownership with strong expertise in AI and digital products.
- Other info: Collaborate with diverse teams and foster a culture of innovation and continuous improvement.
The predicted salary is between 50000 - 60000 £ per year.
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.
AI - Senior Product Owner in London employer: Queen Square Recruitment Ltd
Contact Detail:
Queen Square Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI - Senior Product Owner in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and product management space. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your past projects, especially those involving AI products. This gives potential employers a tangible sense of your skills and experience.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and product ownership. Be ready to discuss how you've applied responsible AI practices in your previous roles. We want to see your passion and knowledge shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Senior Product Owner role!
We think you need these skills to ace AI - Senior Product Owner in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in AI, product ownership, and any relevant projects you've led. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Senior AI Product Owner role. Share specific examples of how you've successfully delivered complex AI products and engaged stakeholders.
Showcase Your Understanding of Responsible AI: Since responsible AI practices are key to this role, make sure to mention your experience with fairness, transparency, and bias mitigation. We’re keen to see how you’ve embedded these principles in your previous work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Don’t miss out on this opportunity to join our innovative team!
How to prepare for a job interview at Queen Square Recruitment Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI, LLMs, and the latest trends in AI technology. Be ready to discuss how these technologies can be applied to create high-value products, as this will show your expertise and passion for the field.
✨Showcase Your Product Ownership Experience
Prepare specific examples from your past roles where you've successfully led the delivery of complex digital or AI products. Highlight your experience with Agile methodologies and how you've managed dynamic backlogs and prioritised roadmaps to drive business outcomes.
✨Emphasise Ethical AI Practices
Since responsible AI is a key focus, be prepared to discuss how you've embedded ethical principles in your previous projects. Share examples of how you've addressed fairness, transparency, and bias mitigation in your work to demonstrate your commitment to responsible AI.
✨Engage with Stakeholders
Think about how you've engaged with customers and stakeholders in the past to validate opportunities. Be ready to share strategies you've used to communicate plans and progress effectively, as well as how you've collaborated with cross-functional teams to achieve project goals.