At a Glance
- Tasks: Lead the development of innovative AI solutions that transform business operations and decision-making.
- Company: Dynamic tech firm at the forefront of AI innovation in London.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment fostering innovation and continuous learning.
- Why this job: Shape the future of AI while working with cutting-edge technologies and talented teams.
- Qualifications: 9+ years in product ownership with a strong background in AI and analytics.
The predicted salary is between 70000 - 90000 € per year.
Location: London, UK (Hybrid-2 days a week from office)
6 months contract position
The Role
As a Senior AI Product Owner, you will drive the strategic vision and execution of advanced AI solutions that enable large scale digital transformation across a fast-evolving industry landscape, shaping products that modernize operations, enhance decision making, and unlock new intelligent capabilities. You will lead complex projects that introduce predictive and generative AI into core business workflows, collaborating closely with engineering, data science, and AI teams to deliver robust, responsible, and production ready AI systems. Working at the forefront of innovation, you will have access to cutting edge technologies including large language models, cloud native platforms, MLOps tooling, real time analytics, and scalable data architectures to accelerate experimentation and delivery. Your impact will be pivotal in identifying high value opportunities, translating strategy into actionable roadmaps, and ensuring AI adoption drives measurable and lasting business outcomes across customer environments.
Your responsibilities:
- Translate complex AI and data-science capability into actionable product requirements, user stories, and well-defined acceptance criteria that guide engineering and AI teams.
- Lead end-to-end product delivery, from discovery and experimentation through to scaling, performance monitoring, and continuous improvement.
- Collaborate closely with cross-functional teams AI engineers, data scientists, architects, designers, and business stakeholders to drive clarity, prioritisation, and timely delivery.
- Drive responsible and ethical AI practices, ensuring fairness, transparency, explainability, and compliance are embedded into product decisions.
- Engage with customers and industry experts to deeply understand challenges, validate opportunities, and shape high-value AI solutions.
- Manage and prioritise a dynamic backlog, balancing innovation, technical debt, and operational needs while maintaining momentum and stakeholder alignment.
- Assess emerging AI technologies, identifying opportunities to enhance product capability using LLMs, generative AI, automation, or advanced analytics.
- Communicate product plans and progress effectively across teams and senior leadership, providing clarity on priorities, risks, and delivery trajectories.
- Ensure operational readiness, working with engineering, security, and support teams to enable deployment, monitoring, and scaled adoption of AI products.
- Foster a culture of innovation, encouraging experimentation, continuous learning, and collaborative problem-solving across multidisciplinary teams.
Your Profile
AI Senior Product Owner (9+ Years)
Essential skills/knowledge/experience:
- Proven senior level Product Ownership experience delivering complex digital or AI products in regulated environments.
- Strong expertise in AI, GenAI and advanced analytics products, including LLMs, RAG patterns, and decision intelligence.
- Experience delivering Agentic AI solutions with orchestration, task delegation, and human in the loop controls.
- Deep understanding of banking products, processes, and customer journeys across Retail or Commercial Banking.
- Solid knowledge of AI model lifecycle management, including data dependencies, model validation, and live service support.
- Demonstrated capability to embed Responsible AI principles, including explainability, fairness, bias mitigation, and transparency.
- Strong working knowledge of regulatory and risk requirements (FCA, PRA, GDPR, Model Risk Management).
- Ability to translate regulatory, legal, and control requirements into clear product features and backlog items.
- Experience working within Agile / SAFe delivery models, owning prioritisation and value-based roadmaps.
- Excellent stakeholder management and influencing skills, working across Business, Technology, Data Science, Risk, and Compliance.
Desirable skills/knowledge/experience:
- Familiarity with cloud native AI platforms and architectures (GCP preferred; AWS/Azure beneficial).
- Strong data driven mindset with experience defining and tracking business value metrics (cost to serve, automation, NPS).
- Ability to manage interdependencies across platforms, data, and change initiatives to ensure predictable delivery.
- Comfortable working with third party vendors and strategic AI platform partners.
- Clear, confident communicator able to operate at delivery, senior leadership, and executive level.
- Strong understanding of AI/ML concepts, including model lifecycle, data pipelines, experimentation, model evaluation, and responsible AI principles.
- Experience working with modern AI technologies such as LLMs, generative AI, predictive analytics, and automation platforms.
- Ability to translate complex technical capabilities into clear product requirements, user stories, and value propositions.
- Familiarity with MLOps, model monitoring, data governance, and AI scalability.
AI -Senior Product Owner employer: DCV Technologies Limited
As a leading innovator in the AI space, our company offers an exceptional work environment that fosters creativity and collaboration. Located in London, we provide a hybrid working model that promotes work-life balance while allowing you to engage with cutting-edge technologies and drive impactful AI solutions. With a strong commitment to employee growth, we offer numerous opportunities for professional development and encourage a culture of continuous learning and ethical AI practices.
StudySmarter Expert Advice🤫
We think this is how you could land AI -Senior Product Owner
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and product management space. Attend industry meetups or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your past projects, especially those involving AI solutions. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI technologies and product ownership principles. Be ready to discuss how you've driven successful projects in the past and how you can apply that experience to their needs.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI -Senior Product Owner
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI and product ownership. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Impact:When detailing your past roles, focus on the impact you made. Use metrics and examples to illustrate how you drove successful AI solutions or improved processes. We love seeing tangible results!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experiences and avoid jargon unless it’s relevant. We appreciate clarity as much as you do!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at DCV Technologies Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially LLMs and generative AI. Be ready to discuss how these can be applied in real-world scenarios, particularly in banking. Show that you understand the complexities of AI product ownership and can translate technical jargon into actionable insights.
✨Showcase Your Stakeholder Skills
Prepare examples of how you've successfully managed stakeholders in previous roles. Highlight your ability to communicate effectively across different teams, from engineering to compliance. This will demonstrate your capability to drive clarity and prioritisation, which is crucial for a Senior Product Owner.
✨Emphasise Responsible AI Practices
Be ready to discuss how you’ve embedded responsible AI principles in your past projects. Talk about your approach to fairness, transparency, and compliance, and how you ensure these are part of the product lifecycle. This shows that you’re not just focused on innovation but also on ethical considerations.
✨Prepare for Agile Discussions
Since this role involves working within Agile/SAFe delivery models, come prepared with examples of how you've owned prioritisation and value-based roadmaps. Discuss how you balance innovation with operational needs, and be ready to talk about your experience managing dynamic backlogs.
