At a Glance
- Tasks: Lead data products from concept to delivery, ensuring they drive business value.
- Company: Join a leading FTSE 250 company driving digital transformation.
- Benefits: Competitive salary, flexible working, and comprehensive benefits package.
- Other info: Work remotely with occasional travel and excellent career growth opportunities.
- Why this job: Shape enterprise-wide data strategy and make a real impact.
- Qualifications: Experience in data product ownership and strong stakeholder management skills.
The predicted salary is between 60000 - 80000 £ per year.
Location: UK (Home-based with occasional travel, UK-wide)
Salary: £60,000 - £80,000 + Benefits
Job Type: Permanent, Full Time
About the Opportunity
Community Partners is delighted to be supporting a leading FTSE 250 organisation with the appointment of an experienced Data Product Owner to join a significant digital transformation programme. This is an exciting opportunity to help shape how data is leveraged across a large, complex organisation. Working at the intersection of business, technology and data, you'll take ownership of data products throughout their lifecycle, ensuring they deliver measurable business value and support strategic decision making. This is not a traditional technical data role. Success will come from your ability to understand business challenges, engage stakeholders and translate requirements into scalable data solutions.
The Role
You'll work closely with business leaders, operational teams and technology specialists to define, develop and continuously improve a portfolio of data products. Your responsibilities will include:
- Owning data products throughout their full lifecycle
- Defining product vision, priorities and roadmaps
- Gathering, analysing and documenting business requirements
- Working with technical teams to translate requirements into deliverable solutions
- Managing senior stakeholder relationships across multiple business functions
- Facilitating workshops and challenging business thinking where appropriate
- Championing data quality, governance and adoption
- Supporting Agile product delivery and continuous improvement
- Identifying opportunities to maximise business value through data and analytics
About You
We're looking for someone who combines strong stakeholder management skills with business analysis and product ownership experience. You'll ideally have experience in:
- Data Product Ownership
- Business Analysis
- Product Ownership or Product Management
- Data and Analytics
- Digital Transformation
- Agile delivery methodologies
- Requirements gathering and process mapping
- Stakeholder engagement at senior leadership level
Most importantly, you'll be an excellent communicator who enjoys solving problems, influencing decision makers and bringing clarity to complex business challenges.
What's Different About This Role?
This is a genuine opportunity to influence enterprise-wide data strategy within a well-established FTSE 250 organisation investing heavily in digital transformation, AI and modern data capabilities. The role offers significant autonomy, exposure to senior leadership and the opportunity to shape products that will have a measurable impact across the business.
Location & Working Pattern
Home-based anywhere in the UK
Approximately one day per week on-site (various UK locations)
Around one day per month in the Midlands, UK
Occasional travel to regional offices as required
Package
£60,000 - £80,000 depending on experience
Permanant, full-time position
Comprehensive benefits package
Flexible hybrid working
Long-term career development opportunities
Recruitment Process
Stage 1: Virtual interview focusing on technical capability and experience
Stage 2: Face-to-face interview focused on stakeholder engagement, communication style and cultural fit
Apply
If you're passionate about using data to solve real business problems and enjoy working with people as much as technology, we'd love to hear from you. Please apply with your latest CV or contact Community Partners for a confidential discussion.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner in Slough
✨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 Community Partners!
✨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 Product Owner at Community Partners.
✨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 Community Partners.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Owner at Community Partners, 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 Product Owner in Slough
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 Community Partners, 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 Community Partners. 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 Community Partners
✨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 Community Partners!
✨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.