At a Glance
- Tasks: Own and manage a portfolio of data products, driving value and adoption.
- Company: Join Hargreaves Lansdown, the UK's top investment platform with a vibrant culture.
- Benefits: Enjoy flexible working, competitive pay, and generous holiday allowances.
- Other info: Dynamic teams, continuous learning, and a commitment to diversity and inclusion.
- Why this job: Make a real impact in data product management and shape the future of investing.
- Qualifications: 5+ years in data product management with strong stakeholder management skills.
The predicted salary is between 60000 - 75000 £ per year.
Excited to grow your career? Our purpose is to make it easy for people to save and invest for a better future. We are looking for great people to join us, so please come and invest in YOUR future at Hargreaves Lansdown. We know that sometimes people can be put off applying for a job if they don't tick every box. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. We’d love to hear from you!
About the role
Data engineers build. Data scientists model. But someone needs to decide what gets built, why it matters, and whether it's actually delivering value. That's this role. You’ll own a portfolio of data products within a domain - defining what each product is, who it serves, and what outcome it drives. You’ll maintain the roadmap, make trade-offs, drive adoption, and kill things that aren't working. You’re the interface between business stakeholders who need data to make decisions and the engineering teams who build it. This isn’t a reporting role or a project management role. It’s product management applied to data: own the product, define the value, control the cost, and drive the decision.
What you’ll be doing:
- Owning a portfolio of data products within a domain - defining purpose, users, scope, and success criteria for each
- Maintaining and prioritising the domain product roadmap, aligned to strategic priorities with transparent trade-offs
- Acting as the primary interface between domain leadership and data delivery teams - translating business priorities into product direction
- Defining metrics, logic, and SLAs in collaboration with modelling and engineering, ensuring products are consistent with enterprise semantics
- Driving adoption - making sure products are discoverable, trusted, understood, and actually used
- Owning cost and usage accountability - monitoring spend vs. value, eliminating unused or duplicated outputs, and optimising the portfolio
- Conducting regular discovery with data consumers to surface unmet needs and feed real demand into the roadmap
- Managing change across the portfolio - versioning, deprecation, consumer communication, and migration support
- Ensuring products meet governance, quality, and regulatory standards with clear ownership, lineage, and metadata
About you:
- 5+ years in data product management, analytics, or closely related roles within financial services
- Strong product management capability in a data/analytics context - not just delivery, but ownership
- Ability to define data products with clear commercial or operational outcomes
- Experience prioritising and making trade-offs in complex, multi‑stakeholder environments
- Strong stakeholder management - comfortable challenging and influencing senior leaders
- Commercial mindset - able to discuss value vs. spend and make cost‑efficiency decisions
- Solid understanding of data modelling concepts, analytics consumption patterns, and data governance principles
- Experience partnering with Data Engineering, Data Architecture, Data Science, and Data Governance teams
- Experience working in regulated environments with certified reporting outputs
Desirable:
- Experience with modern cloud data platforms (e.g. Snowflake, BigQuery, Redshift)
- Exposure to AI/ML feature consumption or model governance requirements
- Experience managing data product SLAs and operational support models
- Familiarity with data product or platform operating models
Interview process:
Three stages: an initial screening call, followed by technical competency-based questions and a scenario task.
Working schedule:
Based at our Bristol head office (BS1 5HL), 37.5 hours per week, Monday to Friday. We offer hybrid flexible working — a mix of office and home.
Why us?
Here at HL, we’re the UK’s number 1 investment platform for private investors, based in Bristol. For more than 40 years we’ve helped investors save time, tax and money on their investments. To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos. We’re steered by core values that promote service, quality, innovation, and opportunity in everything we do.
What’s on offer:
- Discretionary annual bonus and annual pay review
- 25 days holiday plus bank holidays and 1‑day additional Christmas closure
- Option to purchase an additional 5 days holiday
- Flexible working options available, including hybrid working
- Enhanced parental leave
- Pension scheme up to 11% employer contribution
- Income Protection and Life insurance (4 × salary core level of cover)
- Private medical insurance
- Health care cash plans - including optical, dental, and outpatient care
- Health screening programme
- Help@hand – confidential support including mental health counselling and remote GP
- Wellhub – unlimited access to fitness provider and wellness coach sessions
- Variety of travel to work schemes with bike storage and shower facilities
- Inhouse barista and deli serving subsidised coffee and sandwiches
- Two paid volunteering days per year
Hargreaves Lansdown is an inclusive employer that values diversity in its workforce. We encourage applications from all individuals without regard to race, religion, gender, sexual orientation, national origin, disability or age. This role may also be available on a flexible working or part time basis – please ask the Recruitment & Onboarding team for more information. Please note, we are unable to provide employment sponsorship to candidates.
Data Product Manager in Bristol employer: SwiftCruit
Hargreaves Lansdown is an exceptional employer, offering a dynamic work culture that fosters continuous learning and innovation. Located in the vibrant city of Bristol, employees benefit from flexible working options, a comprehensive benefits package including enhanced parental leave and private medical insurance, and a strong commitment to diversity and inclusion. With a focus on employee growth and a supportive environment, Hargreaves Lansdown empowers its team members to invest in their future while making a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Manager in Bristol
✨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 SwiftCruit!
✨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 Manager at SwiftCruit.
✨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 SwiftCruit.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Manager at SwiftCruit, 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 Manager in Bristol
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 SwiftCruit, 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 SwiftCruit. 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 SwiftCruit
✨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 SwiftCruit!
✨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.