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