Head of Data Value Labs, Hargreaves Lansdown
Salary not provided
SQL
AWS
GCP
Python
Tableau
R
Power BI
Azure
Snowflake
Senior and Expert level
Bristol
More information about location
2-3 days a week in office
The UK's number one investment and savings platform for private investors
Posted today
The UK's number one investment and savings platform for private investors
1001+ employees
B2CFinancial Services
Posted today
Salary not provided
SQL
AWS
GCP
Python
Tableau
R
Power BI
Azure
Snowflake
Senior and Expert level
Bristol
More information about location
2-3 days a week in office
1001+ employees
B2CFinancial Services
Company mission
To make it easy for people to save and invest for a better future.
Role
Who you are
- 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!
- A successful Head of Advanced and Commercial Analytics should blend strategic insight with analytical prowess, financial knowledge, and strong leadership capabilities to enhance commercial success
- Proven experience - Senior analytics leadership role, ideally within D2C financial services, wealth management, banking, fintech, or a similar regulated industry
- Strategic Thinker - Ability to develop long-term commercial strategies aligned with company goals. Proficiency in market analysis and competitive positioning, with expertise in translating data into strategic insights for a senior executive audience
- Technical Skills - Deep understanding of statistical analysis, machine learning techniques, and experimental design (A/B testing). High proficiency with data science programming languages (e.g., Python, R) and data manipulation (SQL). Experience with modern data visualisation and BI tools (e.g., Sigma, Tableau, Power BI). Familiarity with cloud-based data warehousing and analytics platforms (e.g., AWS, Azure, GCP, Cloudera, Snowflake, Teradata)
- Data Science and Gen AI – Strong leadership skills in data science and Gen AI, including guardrails definition, colleague training, technology platform and use case assessment and prioritisation, model monitoring, feature engineering and optimisation, Track record of developing and deploying predictive models and AI/ML solutions that have driven tangible commercial value that is recognised by the business and clients
- Client centric experience, performance and behavioural analytics – ability to shape a broader data driven strategy for client nudges, insights and alerts with clarity around orchestration, feedback mechanisms (to improve performance), consent management and coordination with adjacent workstreams. Including how batch, semi real-time and real-time data feeds will all drive important content, albeit at different velocities
- Financial Acumen - Understanding of financial principles, budgeting, and forecasting. Ability to manage profit and loss statements effectively and produce accurate forecasts based on behaviours
- Leadership and Team Management - Experience in leading cross-functional teams and fostering collaboration. Skills in mentoring and developing talent within the Commercial Performance team
- E2E commercial expertise of Wealth and broader financial products, including features, revenue levers, cost drivers
- Understanding of Open Finance data – knowledge of API framework, consent / revalidation requirements, data latency, transactional categorisation and typical data features to drive broader insights for clients at HL. Awareness of future roadmap for Open Finance data with active engagement with 3rd-party suppliers to review future use cases
- Understanding of Open Data – ability to assess potential 3rd-party data opportunities to enhance understanding and client experience, including working with the broader business to produce accurate business cases
- Customer-Centric Approach - Focus on understanding customer needs and preferences that will drive commercial upside
- Communication Skills - Strong verbal/ written communication skills to convey strategies and insights clearly to colleagues, ExCo and Board
- Collaborative Approach – knows how to build deep and trusted relationships with senior leaders to deliver joined up programmes that add value (revenue. Costs, risk) to the business
- Project Management - Skilled in detailed work planning and providing input and tracking for multiple projects simultaneously to drive upside
- Technological Proficiency - Understanding of CRM systems and other commercial performance tools
What the job involves
- This strategic role is responsible for transforming Hargreaves Lansdown’s data into a core operational and commercial asset through the delivery of advanced data models for propensity, client nudges/ insights/ alerts/ targeted advice, LTV and headroom, and engaging with the business around their problems to understand how data can help to unlock value and create a sustainable competitive advantage
- The Head of Data Value Labs will be instrumental in defining the roadmap for data value creation across Hargreaves Lansdown and overseeing the delivery of commercial outcomes from the application of rules-based, advanced predictive models, AI /Gen-AI, and machine learning across the Enterprise
- Importantly, this will include the utilisation of both internal and external data sets, which will include Open Data to augment internal data sets (with relevant permissions) to drive incremental insights
- Direct the full lifecycle of data science projects, from ideation and hypothesis testing to model development, deployment, and ongoing performance monitoring/ compliance adherence, across the following model types:
- A. Propensity Models: To identify clients most likely to invest further, take up new products, or be at risk of churn, with ongoing feedback loops to ensure that the outputs are utilised and optimised over time
- B. Next Best Action (NBA): To guide client interactions, campaigns and outcomes, including supporting targeted support (where relevant)
- C. AI & Machine Learning: Champion the ethical and effective use of Gen-AI, AI and ML to improve model performance, automate processes and drive incremental insights
- Within this the Head of Data Labs needs to ensure that models are compliant with relevant regulations and that the outputs/actions have a positive return on investment linked to measurable business outcomes, such as increased revenue, improved marketing ROI, or higher client retention
- Develop the client Insights, nudges & alerts strategy with business input and ensuring alignment with CRM, targeted support, Martech and Digital team activities
- Synthesise data from multiple sources (transactional, behavioural, demographic) to build a 360-degree view of the client, understanding their needs, goals, and behaviours. Design, develop, and implement a system of automated, personalised and prioritised client insights, nudges and alerts to:
- A. Encourage positive financial behaviours (e.g., utilising tax allowances, diversifying portfolios, avoiding detrimental trading)
- B. Highlight relevant opportunities (e.g., IPOs, regulatory changes, new product launches, market updates)
- C. Proactively address potential issues (e.g., large cash balances, portfolio imbalances)
- D. Guide clients towards app and online functionality to help them with their needs
- Across these, the Head of Data Value labs will work with the CRM team to assess how to deliver personalisation at Scale to integrate these insights, nudges and alerts into the client journey across all digital touchpoints (app, web, email) to create a truly personalised and relevant experience
- Importantly, the E2E analytical framework must incorporate the relevant data privacy requirements to ensure data minimisation rules are incorporated as compliance as code
- Collaborate with the business to unlock processes through data and the capabilities of the broader data marketplace. Champion efficiencies and develop repeatable delivery models to drive out manual processes, reporting and calculations to reduce costs and operational risks, working with Risk colleagues to ensure that development is in line with policy and regulatory requirements
- Build a High-Performing Team: Recruit, mentor, and lead a world-class team of analytics professionals, fostering a culture of curiosity, innovation, and commercial focus
- Define and align the roadmap: Develop and own the strategic roadmap for analytics, ensuring it is aligned with the company's overarching commercial goals
- Champion Data Culture: Be an advocate for data-driven decision-making across the organisation, effectively communicating the value and potential of analytics to all stakeholders
- Stakeholder Management: Build strong, collaborative relationships with key stakeholders across the business, including the Executive team, Marketing, Product, Technology, and Finance
Application process
- End Date: July 2, 2026
- 3 stage interview process – Director of Data and Insights meet | Technical Interview | Leadership/ Culture
Our take
Hargreaves Lansdown is the UK's number one investment platform for private investors, trusted by 2M people to help manage their money. Founded back in 1981 in a spare bedroom, it's grown into a powerhouse, and with more than £170B in assets under its administration, it's become the biggest name in DIY investing in the country.
The company offers a wide range of services that include Stocks and Shares ISAs, pensions (SIPPs), savings accounts, and a market-leading investment app, making it easy for everyday people to invest, save, and better plan for their retirement.
Recently, HL was taken private in a £5.4B deal, with new leadership aiming to modernise and future-proof the business. And despite more competition from digital challengers, it continues to thrive, adding more customers, launching new features, and paying strong dividends. On top of that, it's got over 40 years of experience and a forward-thinking team driving it towards even more success.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Generous Discretionary Annual Bonus
- Up to 19% Pension
- Private Medical Insurance*
- Health Cash Plan
- Income Protection
- Life Assurance (4x Salary)
- Additional Holiday Purchase
Company HQ
Canon's Marsh, Bristol, UK
Leadership
Richard Flint
(CEO)Previously, Richard spent over 5 years at Sky Betting & Gaming as CEO and an Executive Chair. Prior to that, he spent over 13 years at Sky as a Managing Director. Now, he is an Investor and Chairperson at a number of companies.
Mohamed Ait Si Brahim
(Group CTO)Mohamad is also a Member of the Harvard Business Review Advisory Council. Previously, he spent over 7 years at Profile Pensions as CTO. Prior to that, he was a VP of Engineering at OpenGamma and Head of Market Risk Technology at LSEG.
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