Business Intelligence & Automation Lead at Truelayer

Job Title

Business Intelligence & Automation Lead

Not Disclosed

is Europe’s fastest-growing Pay by Bank network, having raised over $300 million from world-renowned investors including Stripe, Tiger Global, Northzone, and Tencent to power smarter, safer, and faster real-time payments across 22 countries.

Join the Strategic Finance team at  to architect production-grade financial data models and lead AI-driven automation. You will bridge the gap between Engineering and Commercial teams, transforming raw data into actionable insights while deploying modern AI orchestration tools to eliminate manual cycles and scale global financial intelligence infrastructure.

London, UK

• Join a fintech powerhouse backed by $300M+ from Stripe and Tiger Global, recognized as one of CNBC’s World Top Fintech Companies.
• Take true ownership over the financial intelligence stack, moving beyond spreadsheets to build sophisticated, AI-orchestrated automation pipelines using cutting‑edge tools like Dust AI.
• Enjoy exceptional benefits including meaningful equity, a £1,000 annual L&D budget, and 36 days of total annual leave to ensure peak performance and wellbeing.

• Design and extend finance data models within the data warehouse, building production‑grade tables and scalable Looker visualization layers that stakeholders actually use.
• Automate end-to-end month‑end deliverables and cash management pipelines, leveraging generative AI platforms for automated financial commentaries and executive briefings.
• Lead data normalization during corporate development phases and acquisitions, acting as a high‑fidelity translator between Product, Engineering, and Finance teams.

• Advanced SQL and Looker (LookML) expertise with a deep understanding of modern data stack architecture, including data warehousing and dbt workflows.
• Proven track record in a BI, data, or finance analytics role, preferably within high‑growth VC‑backed environments or investment banking.
• Hands‑on experience with generative AI and automation tools, demonstrating a "systems thinker" mindset capable of turning messy data into scalable infrastructure.