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 x 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 providers 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
* dependant on role level
** only available to select during our annual benefits window, in November each 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.
Skills Required
- 5+ years in data product management, analytics, or closely related roles within financial services
- Strong product management capability in a data/analytics context (ownership, not just delivery)
- 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 and ability to influence senior leaders
- Commercial mindset, able to discuss value versus 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
- Experience with modern cloud data platforms (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
What We Do
We’re the UK’s number 1 investment platform for private investors, based in Bristol, where we now employ over 1,700 people. For more than 40 years we’ve helped investors save time, tax and money on their investments. Today we're trusted by over 1.7 million clients. Our service allows clients to bring all their ISAs, pensions, SIPPS, and savings into one easy to manage place, allowing them to be in control.
