At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions in a dynamic environment.
- Company: Join Wavestone, a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy competitive salary, flexible benefits, and a commitment to work-life balance.
- Other info: Work in a vibrant London office with opportunities for growth and development.
- Why this job: Make a real impact by bridging AI capabilities with business value in exciting industries.
- Qualifications: Experience in product ownership and a passion for human-centred design.
The predicted salary is between 70000 - 90000 £ per year.
Wavestone is seeking a Senior AI Product Owner to coordinate the design, delivery, and scaling of agentic AI solutions in a complex, regulated environment (e.g. Banking, Insurance, WAM and Life Science). This role is client‑facing and strategic: you will bridge cutting‑edge AI capabilities with business value, crafting vision and roadmaps and leading cross‑functional teams to deliver production‑ready AI products. As the AI Product Owner, you will own end‑to‑end outcomes, from ideation with senior client stakeholders (CTO/C‑suite) through pilot and scalable deployment, ensuring robust governance, user‑centric design, and measurable business impact.
Key Responsibilities
- Strategic AI Product Vision & Roadmap: Define a clear product vision for agentic AI use cases, aligning AI innovation with business strategy. Prioritise features that balance technical feasibility with user desirability and tangible value, leveraging market intelligence and customer insight to shape a winning roadmap.
- Agile Team Leadership & Execution: Lead and inspire a cross‑functional agile team (AI Engineers, Data Scientists, Business SMEs and Analysts, Designers) through the full AI solution lifecycle. Drive ideation workshops, backlog prioritisation, sprint planning, and iterative development using tools like Jira/Azure DevOps. Ensure disciplined agile delivery and adapt processes to incorporate AI‑assisted development (pair programming with tools like Claude Code) for rapid, high‑quality output.
- Continuous improvement of SDLC for the AI Engineers: Oversee integration of modern AI SDLC best practices into the product development process. Guide the team on a controlled/secure way to utilising appropriate LLMs, agent frameworks, plugins/skills, and data pipelines. Emphasise robust grounding of AI with enterprise knowledge and context to mitigate hallucinations. Manage AI FinOps and observability; monitoring model performance, usage, and costs to optimise efficiency and scalability.
- Stakeholder Engagement & Change Management: Act as the conduit between technical teams and business leadership. Communicate complex AI concepts and progress in clear, compelling business terms. Coordinate with leadership and various stakeholder groups to ensure alignment and buy‑in. Drive AI adoption and change‑management efforts, including user communications, training and AI hackathons related to the AI product you manage.
- AI Governance, Risk & Compliance: Champion AI governance, security, and compliance throughout the product lifecycle across the appropriate forums. Proactively identify and mitigate risks, from regulatory and ethical considerations to data privacy and operational resilience. Implement strong model monitoring, validation, and quality controls to uphold trust and compliance standards. Ensure the product is delivering on KPIs (user adoption, satisfaction, revenue/cost impact) and continuously optimise post‑launch.
Qualifications
- Industry recognised Business Analysis qualification.
- Industry recognised Product Owner qualification.
- Understanding/Experience in Human‑Centred Design and Design Thinking methodologies would be an advantage.
- Experience in leading and nurturing teams through cultural transformation towards a client‑centric approach in product design and delivery.
- Understanding of regulatory or compliance risk.
Benefits and Additional Information
- Competitive salary and bonus scheme.
- Income protection insurance, 5 % company pension, private health and dental cover, life insurance, company share scheme.
- Additional flexible benefits: additional holidays, additional pension contributions, subsidised gym, subscriptions to wellbeing apps, Netflix, retail vouchers.
- 25 days annual leave.
- Equality, diversity, and inclusion commitment – celebrating diverse backgrounds, providing support for disabilities, and fostering a culture of work‑life balance.
Travel and Location
Employees are not required to work in a Wavestone office on a full‑time basis but are required to commute to the office / client site whenever necessary. Wavestone UK office is in the heart of the city of London. Note: Mandatory 2‑3 days per week in Wavestone office / client site during probation. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, please reach out to us to discuss this.
Data and AI - AI Product Owner employer: Wavestone
Wavestone is an exceptional employer that prioritises employee growth and well-being, offering a competitive salary and a comprehensive benefits package including private health cover and flexible working arrangements. With a strong commitment to equality, diversity, and inclusion, Wavestone fosters a collaborative work culture in the vibrant city of London, providing opportunities for professional development and engagement with cutting-edge AI technologies in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI - AI Product Owner
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Wavestone or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your experience with AI product ownership. This is your chance to demonstrate how you can bridge tech and business value, just like the role requires.
✨Tip Number 3
Prepare for the interview by understanding Wavestone's values and recent projects. Tailor your responses to show how your vision aligns with their goals, especially in regulated environments like banking and insurance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and ready to take on the challenge of leading AI products.
We think you need these skills to ace Data and AI - AI Product Owner
Some tips for your application 🫡
Craft Your Story:When writing your application, make sure to tell us your story! Highlight your journey in AI product ownership and how it aligns with our mission at StudySmarter. We love seeing how your experiences can bring value to our team.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that match the job description. Show us how you can bridge AI capabilities with business value, just like we do at StudySmarter.
Showcase Your Leadership Skills:As an AI Product Owner, leadership is key! Use your application to demonstrate how you've led cross-functional teams and driven successful projects. We want to see your ability to inspire and guide others towards achieving great results.
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 ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Wavestone
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to the banking and insurance sectors. Be ready to discuss how you can bridge AI capabilities with business value, as this will show your understanding of the role's strategic nature.
✨Showcase Your Leadership Skills
Prepare examples of how you've led cross-functional teams in the past. Highlight your experience with agile methodologies and tools like Jira or Azure DevOps. This will demonstrate your ability to inspire and guide teams through the full AI solution lifecycle.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. Since this role involves client-facing responsibilities, being able to articulate your ideas clearly to stakeholders is crucial. Think about how you would present your product vision and roadmap to a C-suite audience.
✨Understand Governance and Compliance
Familiarise yourself with AI governance, risk, and compliance issues. Be prepared to discuss how you would ensure that AI products meet regulatory standards and maintain user trust. This knowledge will be key in demonstrating your capability to manage risks effectively.
