Strategic Data Product Leader (Hybrid) in Leeds

Strategic Data Product Leader (Hybrid) in Leeds

Leeds Full-Time 59400 - 72600 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the vision and strategy for enterprise data products across various domains.
  • Company: Join UST, a forward-thinking company focused on innovation and collaboration.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with a focus on long-term platform sustainability.
  • Why this job: Make a real impact by shaping data products that drive measurable business outcomes.
  • Qualifications: Proven experience in product management and strong leadership skills.

The predicted salary is between 59400 - 72600 £ per year.

UST is seeking a Lead Data Product Manager to shape enterprise data products across domains.

You will own the product vision, roadmap, backlog prioritisation, and value realisation, collaborating with senior stakeholders, cross-functional teams, and vendor squads.

The role carries strategic influence and a mandate to achieve measurable business outcomes while ensuring long-term platform sustainability.

  • The role requires leadership in roadmaps, prioritisation, and cross-squad delivery, with
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Strategic Data Product Leader (Hybrid) in Leeds employer: UST

As a Salesforce Delivery Lead in London, you will join a dynamic and innovative team within the Financial Services sector, where your expertise will drive impactful technology initiatives. Our hybrid work culture promotes flexibility while fostering collaboration, and we are committed to your professional growth through continuous learning opportunities and mentorship. With a focus on Agile practices and high-performance teams, we offer a rewarding environment that values your contributions and encourages meaningful engagement with stakeholders.

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Contact Details:

UST Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Strategic Data Product Leader (Hybrid) in Leeds

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 UST!

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 Strategic Data Product Leader (Hybrid) at UST.

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 UST.

Apply Directly through Our Website

When you find a suitable opening like Strategic Data Product Leader (Hybrid) at UST, 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 Strategic Data Product Leader (Hybrid) in Leeds

Product Vision Development
Roadmap Prioritisation
Backlog Management
Stakeholder Collaboration
Cross-Functional Team Leadership
Vendor Management
Strategic Influence

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 UST, 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 UST. 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 UST

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 UST!

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.