At a Glance
- Tasks: Lead the Data & AI product backlog and deliver innovative AI-enabled solutions.
- Company: Join a respected global organisation prioritising technology and digital transformation.
- Benefits: Up to £90,000 salary, bonus, pension, 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 team.
- Qualifications: 3+ years as a Product Owner in Data, AI, or Analytics with strong stakeholder skills.
The predicted salary is between 55000 - 65000 £ 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.
- You Will Work With
- 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
- Salary up to £90,000
- 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 employer: Jefferson Frank
Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Product Owner (Data & AI) / AI Product Manager
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jefferson Frank!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Product Owner (Data & AI) / AI Product Manager at Jefferson Frank.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jefferson Frank.
✨Apply Directly through Our Website
When you find a suitable opening like Product Owner (Data & AI) / AI Product Manager at Jefferson Frank, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Product Owner (Data & AI) / AI Product Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jefferson Frank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jefferson Frank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jefferson Frank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jefferson Frank!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
