Strategy Execution: Lead on data strategy execution, leading by example in a hands-on capacity
Data Foundations: Design and create the single source of truth for critical business entities and implement processes to ensure the business builds on solid data foundations
Data Products: Develop data products that allow for controlled, self-service data access
Leadership: Lead and mentor the data team, fostering a culture of high performance and innovation
Governance & Quality: Own data quality and governance in an FCA-regulated environment, ensuring accurate audit trails
Cross-Functional Collaboration: Work closely with the Salesforce team to own Salesforce data models and ensure holistic governance
Technical Alignment: Work with the VP of Engineering to ensure alignment with the wider technical strategy and business objectives.
Skills, Knowledge and Expertise
Leadership Experience: Proven track record of leading data projects in fast-paced environments
Technical Mastery: Expert-level proficiency in SQL, BigQuery, and modern data ingestion/transformation patterns
Tooling: Experience with Looker, dbt, and Python
Data Science: Ability to develop Machine Learning models and the required supporting infrastructure
Architecture: Familiarity with modern data architecture patterns and real-time data infrastructure
AI & Automation: Familiarity with AI coding tools (e.g., Claude Code) and analytics agents
Methodology: Strong background in Agile methodologies and Git for version control.
Familiarity with event-driven architecture
Experience with AI/LLM infrastructure and model evaluations
A background in fintech or regulated financial services.
Benefits
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