Role Description Vable is building a new business intelligence layer - companies, deals, industries, people - that will sit alongside our existing legal intelligence product and open up a new market for us. This role owns the build. You will work the data hands-on using new tools we are developing, solve real problems for real clients, and grow into managing a small team as the product proves itself. If you are looking for a role where the work is visible, the impact is measurable, and there is genuine room to grow - this is it. What You Will Do - Build and maintain the product: - Take ownership of Vable's business intelligence data - the companies, deals, industries, and people that our clients use for BD, marketing, and client development. - Work hands-on with our data management tools to curate, classify, and improve the dataset day to day. - Identify gaps in coverage and quality, diagnose the root causes, and work with the product and engineering teams to fix them. - Maintain and improve our source and publisher database - ensuring everything is correctly categorised and up to date. - Use AI tools pragmatically to find better, faster ways of working - evaluate what works, refine what doesn't. - Understand and serve clients: - Develop a clear understanding of how lawyers, BD teams, and marketing professionals in law firms use business intelligence - what they need, what frustrates them, and what would make Vable indispensable. - Feed that understanding back into how we prioritise and improve the product. - Where relevant, engage directly with clients to validate what we are building. - Work with the broader team: - Work closely with the Head of Content Intelligence and Head of Product on product direction and priorities - your domain knowledge and hands-on experience of the data will directly inform roadmap decisions. - Work with the PM responsible for content intake on ensuring we are monitoring the right sources. - Contribute a view on the competitive landscape - the tools your future users currently use and where Vable can win. - Build the function over time: - In the early stage this is largely a solo role - you will be doing the work yourself. - As the product proves itself you will bring in support, starting with a legal intelligence specialist, and grow into managing a small team. Qualifications - 3-6 years experience in or around law firms or professional services - in a BD, marketing, research, operations, or data role. - Familiarity with business intelligence tools - Mergermarket, Refinitiv, DealCloud, Bureau van Dijk, or similar - and a clear understanding of the data and how it is used. - Strong problem-solving instinct - you spot issues, figure out an approach, and get on with it. - Comfortable working with new tools and technologies - you pick things up quickly and find practical applications. - Clear communicator - able to talk to lawyers, BD professionals, and product and engineering teams. - Self-starter - you do not need a complete brief to make progress. - The right to live and work in the UK. Requirements - Experience working with or alongside product or technology teams. - Hands-on experience working with data - interrogating it, cleaning it, or maintaining it. - Familiarity with AI tools in a practical, hands-on context. - Some exposure to legal intelligence - cases, legislation, legal sectors - in addition to business intelligence. What This Is Not - A senior strategy role. You will be doing the work yourself in the early stage - that is not a stepping stone, it is how you build something properly. - A role with a fully resourced team from day one. You will start largely solo and grow the team as the product proves itself. - A role for someone who needs certainty and a detailed playbook. The early stage requires initiative and comfort with ambiguity. Benefits - Real ownership of a new product area - this is not a feature on someone else's roadmap. - A direct line to the Head of CI and genuine influence over what gets built and how. - Room to grow - from hands-on builder to a lead managing a small team as the product matures. - Work that is visible - in a small team, what you do shows up directly in the product and in client outcomes. - A technically interesting problem at the intersection of structured data, AI-assisted curation, and legal professional services. - Fully remote working (UK). - Salary £55,000 - £60,000 depending on experience. Ready to Apply? Submit your CV, cover letter and answer the application question's. The process runs over 2–3 weeks (around 5 hours of your time) and includes an intro call with the People team, various other interviews. 🎥 We record recruitment calls with your permission to ensure fairness across our remote team. We hire based on skills, potential and passion, and are an equal opportunities employer.

• Develop, maintain, and optimize dashboards and reports using BI tools (e.g., Power BI, Tableau) • Write and refine SQL queries to extract, clean, and analyze data from multiple sources • Partner with business stakeholders to gather reporting requirements and deliver actionable insights • Perform ad hoc analysis to support business decisions • Ensure data accuracy, consistency, and integrity across reporting solutions • Assist in providing input for the building and maintenance of data models and ETL processes • Analyze complex datasets to identify trends, patterns, and actionable insights • Translate business requirements into scalable technical solutions and data models • Optimize report performance and usability for end users • Support data governance and best practices in reporting and analytics • Document reporting processes, data definitions, and workflows

• Serve as a senior BI partner for the Product team • Collaborate and consult directly with business teams • Design, build, and maintain scalable data pipelines and transformation layers • Develop and maintain data marts and self-serve tooling • Partner with analysts and product managers to support A/B testing frameworks • Monitor data pipeline health by identifying data quality issues • Work closely with data governance and data engineering • Apply ML engineering practices to productionize predictive models • Champion engineering best practices including peer code reviews

• Provide analytic support to internal leaders and external community organizations. • Collaborate with stakeholders to gather and translate technical requirements into scalable BI solutions. • Capture and consolidate source data with proper data lineage and change control. • Perform data modeling and ensure deliverables follow standard definitions and policies. • Determine logical design characteristics and information management strategies. • Create, vet, and publish data sources for common use in BI tools (e.g., Epic, PowerBI). • Develop and maintain community programs using Epic, PowerBI, Excel, and other tools. • Generate impactful, interactive visualizations with consistent data elements. • Ensure data integrity and proper definitions through continuous review of dashboards.