At a Glance
- Tasks: Lead data governance and ensure effective data management across the organisation.
- Company: Join Hargreaves Lansdown, the UK's top investment platform for private investors.
- Benefits: Enjoy flexible working, generous holiday, and comprehensive health benefits.
- Other info: Inclusive workplace with opportunities for growth and development.
- Why this job: Make a real impact on data standards and governance in a dynamic environment.
- Qualifications: Experience in data management and strong leadership skills required.
The predicted salary is between 60000 - 80000 £ 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
The Senior Data Management analyst will drive the evolution, adoption and adherence to enterprise data standards and ownership across the organisation, supported by robust monitoring and oversight. This role is central to embedding consistent ways of working across front end development, architecture, engineering, operations, and data & analytics teams—ensuring data is governed effectively throughout its lifecycle.
You’ll lead the next phase of HL's Data Ownership Framework, enabling clear accountability aligned to a product led way of working, which effectively curates regulatory compliance, and trusted data for operational and strategic decision-making.
In your role, you will:
- Lead the rollout and ongoing evolution of the Data Ownership Framework, ensuring clear accountability across domains
- Define, maintain, and enforce enterprise-wide data policies, standards, and governance controls
- Embed governance practices into day-to-day ways of working across UX, engineering, architecture, operations, and data teams
- Partner with architecture to define and govern single sources of truth and data flows across platforms
- Run Data forums, maturity reviews, and control oversight processes, tracking risks and actions
- Drive adoption and behavioural change through training, communication, and stakeholder engagement
- Build data governance capability by coaching data owners, stewards, and delivery teams
- Oversee metadata, definitions, and classifications to ensure clarity, consistency, and usability across the organisation
- Actively support data remediation by driving cross functional collaboration and data discipline to reduce risk and drive the business strategy
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.
Senior Data Management Analyst in Bristol employer: HL Tech
Hargreaves Lansdown is an exceptional employer, offering a vibrant work culture in Bristol that fosters continuous learning and innovation. With a commitment to employee growth, we provide extensive benefits including flexible working options, generous holiday allowances, and comprehensive health support, ensuring our team can thrive both personally and professionally. Join us to make a meaningful impact in the investment services sector while enjoying a supportive and dynamic environment.
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We think this is how you could land Senior Data Management Analyst in Bristol
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We think you need these skills to ace Senior Data Management Analyst 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!
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✨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!
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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
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✨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.
