Senior Data Advisor

Senior Data Advisor – London - Law

An opportunity has arisen to join a highly regarded, top-tier law firm with an exceptional reputation across private capital, private wealth, M&A and disputes, and a reputation among industry peers as a leader in early adoption and embracing technology as means of gaining a competitive advantage.

This Data Advisor role sits within a well-established legal technology function and offers the chance to shape how data and AI are used across the firm. The team is focused on developing innovative, technology-led solutions that enhance legal service delivery, and this position will play a key role in supporting those objectives

This is the first dedicated data specialist hire within the Knowledge & Data function and offers ownership and the opportunity to influence strategy from the outset. You’ll work closely with Partners, Knowledge Lawyers and Business Services teams to identify and deliver data-led improvements across the firm.

The key objectives and responsibilities in this Senior Data Advisor role will include, but not be limited to:

•    Identifying opportunities to use data, AI and automation to improve legal services

•    Analysing data from across the firm (clients, matters, finance, knowledge systems) to generate insight

•    Designing and building legal knowledge data structures and AI-ready datasets

•    Developing dashboards and reports to track usage, impact and performance

•    Translating complex analysis into clear, practical recommendations

•    Supporting data governance, quality and wider data strategy initiatives

•    Collaborating with stakeholders across IT, risk, finance and marketing

•    Keeping up to date with emerging technologies and supporting innovation across the firm

To be a suitable candidate for this Senior Data Advisor role, a strong mix of the following is required:

•    Experience in data, analytics or AI within a professional services or corporate environment

•    Strong technical skills (e.g. Python, SQL, working with structured and unstructured data)

•    Hands-on exposure to AI tools and concepts (e.g. large language models, data platforms)

•    Experience building reports or dashboards (Power BI, Tableau or similar)

•    Ability to communicate technical concepts clearly to non-technical audiences

•    Strong stakeholder management and a collaborative working style

•    A proactive, commercially minded approach with an interest in innovation