Head of Data Value Labs
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About the role
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.
Responsibilities
- 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 , ca mpaigns 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 d eliver 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.
- 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 .
- About you
- A successful Head of Advanced and Commercial Analytics should blend strategic insight with analytical prowess, f
Additional Information
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!
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