At a Glance
- Tasks: Lead a strategic data domain and manage product decisions for impactful transformation.
- Company: Join a major player in financial services driving innovative change.
- Benefits: Competitive daily rate, flexible contract, and the chance to shape the future of data.
- Other info: Dynamic role with opportunities for professional growth in a fast-paced industry.
- Why this job: Make a real impact by bridging business and technology in a high-stakes environment.
- Qualifications: Experience as a Data Product Owner with strong stakeholder management skills.
The predicted salary is between 63000 - 77000 £ per year.
Data Product Owner London | Contract | Inside IR35 | Up to £650 per day Data Product Owner | Financial Services Transformation Programme We are supporting a major financial services transformation programme and are seeking an experienced Data Product Owner to lead a strategic data domain through a period of significant platform and business change.
This is a high-impact role for someone who can operate at the intersection of business and technology, defining how data delivers value to the organisation while driving alignment across senior stakeholders and delivery teams.
The successful candidate will own their data domain end-to-end, translating business objectives into a clear and prioritised roadmap, managing competing demands, and acting as the primary decision-maker between business consumers and engineering teams.
Responsibilities Own the business-facing strategy and roadmap for a key data domain.
Define, prioritise and manage requirements based on business value and organisational objectives.
Act as the primary liaison between business stakeholders and technical delivery teams.
Drive product decisions and maintain alignment with strategic goals.
Manage senior stakeholder expectations and resolve competing priorities.
Ensure successful delivery of data ca...
Product Owner (Data) employer: LMA Recruitment
Join a dynamic and innovative team in the heart of London, where your expertise as a Portfolio Manager will be valued and nurtured. We offer a hybrid working model that promotes work-life balance, alongside competitive salary packages and opportunities for professional growth within the specialist property finance sector. Our collaborative culture encourages relationship-building with brokers and clients, ensuring you thrive in a fast-paced environment while making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Product Owner (Data)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like LMA Recruitment before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like LMA Recruitment.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like LMA Recruitment.
We think you need these skills to ace Product Owner (Data)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at LMA Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to LMA Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab LMA Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at LMA Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at LMA Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at LMA Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at LMA Recruitment.
