At a Glance
- Tasks: Lead the Data & AI product backlog and deliver innovative AI-enabled solutions.
- Company: Join a respected global organisation focused on digital transformation and technology.
- Benefits: Up to £90,000 salary, bonuses, pension contributions, and flexible working options.
- Other info: Enjoy extensive learning opportunities and clear career progression pathways.
- Why this job: Drive meaningful change with cutting-edge AI technologies in a collaborative environment.
- Qualifications: 3+ years as a Product Owner in Data, AI, or Analytics with strong stakeholder management skills.
The predicted salary is between 90000 - 90000 £ per year.
Product Owner (Data & AI) / AI Product Manager - London (Hybrid)
Generative AI - Data & Analytics - Power BI - Agile - Digital Transformation - up to £90,000
We’re partnering with a highly respected global organisation investing heavily in its Data & AI capabilities as part of an ambitious digital transformation programme.
This is an opportunity to join a business where technology is a strategic priority, giving you the chance to influence how AI, automation and data products are adopted across an international operation.
You’ll be joining a collaborative, forward‑thinking technology team delivering innovative solutions that improve decision‑making, operational efficiency and business performance.
If you’re passionate about AI and enjoy turning business challenges into scalable technology solutions, this role offers a fantastic opportunity to drive meaningful change while working with some of the latest developments in Generative AI, AI Agents and intelligent automation.
Responsibilities
- Own, prioritise the Data & AI product backlog.
- Translate requirements into epics, user stories, acceptance criteria.
- Partner with stakeholders across multiple regions.
- Deliver AI‑enabled products including Gen AI, AI Agents, NLP, automation, analytics.
- Shape AI use cases from concept through delivery.
- Define requirements, data readiness, evaluation criteria, operational needs.
- Drive data quality, governance, lineage, accessibility.
- Support experimentation, innovation, continuous improvement.
- Work within Agile Scrum, Kanban environments.
Benefits
- Discretionary annual bonus.
- 8% employer pension contribution.
- Enhanced parental leave.
- Extensive learning and development opportunities.
- Clear career progression pathways.
- Flexible and hybrid working arrangements.
- Key Experience
- 3+ years Product Owner experience within Data, AI, Analytics, BI, Automation, Digital Products.
- Proven backlog ownership delivering measurable outcomes.
- Strong Business Analysis skills including workshops, requirements gathering, process mapping, user stories, acceptance criteria.
- End‑to‑end delivery experience across data, analytics, automation, digital products.
- Knowledge of Generative AI, AI Agents, Machine Learning, NLP.
- Experience defining AI requirements, success measures.
- Power BI experience within governed reporting environments.
- Understanding of data modelling, metrics, lineage, self‑service analytics.
- Knowledge of GDPR, governance, risk, security frameworks.
- Agile delivery experience (Scrum, Kanban).
- Strong stakeholder management, communication skills.
- #J-18808-Ljbffr
Product Owner (Data & AI) / AI Product Manager in London employer: Nigel Frank
Join a forward-thinking organisation that prioritises innovation and collaboration, offering a dynamic work environment for a Senior Power Platform Developer. With a strong focus on employee growth, you will have the opportunity to lead projects, mentor fellow developers, and shape the technical direction of the company while enjoying the flexibility of a hybrid working model. This role not only provides competitive remuneration but also fosters a culture of continuous learning and development, making it an excellent choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Product Owner (Data & AI) / AI Product Manager in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Nigel Frank!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Nigel Frank would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Nigel Frank through your school's career services!
We think you need these skills to ace Product Owner (Data & AI) / AI Product Manager in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Owner (Data & AI) / AI Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Owner (Data & AI) / AI Product Manager position at Nigel Frank. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Nigel Frank
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
