At a Glance
- Tasks: Lead the development of innovative Data & AI products and drive digital transformation.
- Company: Join a leading organisation at the forefront of Data and AI innovation.
- Benefits: Competitive salary, performance bonus, hybrid working, and private medical insurance.
- Other info: Enjoy 25 days annual leave and excellent career growth opportunities.
- Why this job: Shape the future of data-driven solutions and make a real impact in a growing team.
- Qualifications: Experience as a Product Owner in Data, Analytics, or AI environments.
The predicted salary is between 90000 - 90000 £ per year.
- Data & AI Product Owner
- £90,000 + Bonus - London (Hybrid Working, 3 days in office)
We are partnering with a leading organisation undergoing a significant digital transformation programme with substantial investment in Data, Analytics, Automation and Artificial Intelligence capabilities.
Due to continued growth within its Data & AI function, the organisation is looking to hire a Data & AI Product Owner to help shape and deliver its roadmap for data-driven and AI-enabled products.
This is an excellent opportunity to join a growing team focused on leveraging data, analytics and Generative AI to improve operational efficiency and business decision-making.
Working closely with business stakeholders, data professionals and technical delivery teams you will play a key role in defining product strategy, managing delivery backlogs and ensuring successful adoption of Data & AI solutions.
This role would suit an experienced Product Owner who enjoys translating business requirements into tangible outcomes and driving innovation through modern data and AI technologies.
Key Responsibilities
- Own and prioritise the product backlog, ensuring alignment with business objectives and strategic priorities.
- Work closely with stakeholders to gather requirements and translate business needs into user stories and acceptance criteria.
- Define and deliver Data & AI use cases, including analytics, automation and Generative AI solutions.
- Collaborate with data, architecture and engineering teams to ensure solutions are scalable, secure and fit for purpose.
- Support the development of data products, reporting capabilities and AI-enabled applications.
Skills & Experience
- Proven experience working as a Product Owner, Data Product Owner or Product Manager within a Data, Analytics, BI or AI environment.
- Strong backlog management and prioritisation experience.
- Experience delivering data, analytics, reporting, or AI-focused products.
- Understanding of Agile delivery methodologies, including Scrum and Kanban.
- Knowledge of Generative AI, AI agents, Machine Learning or automation use cases.
- Understanding of data modelling, semantic models, self-service analytics and data governance principles.
- What's on Offer
- Salary of up to £90,000 depending on experience.
- Performance-related bonus scheme.
- Hybrid working model - 3 days in office in central London
- Private medical insurance.
- 25 days annual leave plus bank holidays, with additional holiday purchase options.
- #J-18808-Ljbffr
Data & AI Product Owner in London 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 Data & AI Product Owner in London
✨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 Data & AI Product Owner at Jefferson Frank.
✨Leverage Professional Networks
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 Data & AI Product Owner 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 Data & AI Product Owner in London
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.
