At a Glance
- Tasks: Lead finance analytics and AI/ML initiatives to drive impactful business decisions.
- Company: Join a well-funded startup with big ambitions and a dynamic culture.
- Benefits: Competitive salary, pre-IPO equity, unlimited PTO, and generous parental leave.
- Other info: Collaborate with small teams for massive impact and enjoy flexible work options.
- Why this job: Make a real impact in a fast-paced environment while leading innovative finance strategies.
- Qualifications: 15+ years in travel/SaaS, strong data skills, and experience with AI/ML technologies.
The predicted salary is between 90000 - 120000 £ per year.
About the Role
Hopper is looking for a Lead, Finance Analytics & Enablement AI/ML to own our data warehouse, business intelligence, GCP/AI optimization, and Finance AI enablement strategy. You will be a key business partner across the organization, managing partner relationships across a broad range of commercial arrangements, reporting directly to the Chief Financial Officer.
What would your day-to-day look like:
- Provide actionable insights to drive business decisions based on finance and data analytics
- Own the data warehouse strategy, governance and execution of the finance ledger
- Build and lead a Center of Excellence for reporting including owning infrastructure and metrics across finance and the business units
- Create, own, implement and track success of the Finance AI automation roadmap in partnership with FP&A, accounting and data
- Establish data pipeline and AI model foundation
- Understand and optimize our GCP infrastructure costs in partnership with engineering and Financial Operations
- Establish Finance as the single source of truth for financial and business performance and create self‑service analytics for key stakeholders
- Manage a team of 4 engineers and 1 finance and strategy manager
- Establish internal controls and support external audits related to data governance
An ideal candidate has:
- Work experience 15+ years in travel and/or SaaS
- Bachelor’s Degree, with a strong preference for a Master’s degree or equivalent experience
- Engineering background preferred
- Fluency in SQL, Python, GCP and Data Science, hands on coding ability
- Understanding of LLM‑based systems, prompt design, and AI model evaluation frameworks
- Familiarity with automation frameworks and observability tools (Amplitude, Datadog, Looker) to assess reliability and performance
- Strong data reconciliation skills across large, multi‑source datasets
- A bias toward first‑principles thinking — questioning assumptions, stress‑testing processes, and always asking why something works the way it does
- Clear communicator with senior leadership and external partners
- Comfort with ambiguity and ground‑zero building
Nice to Have
- Background at a high‑growth technology or marketplace company
- Experience working cross‑functionally with data engineering or warehouse teams
Perks and benefits of working with us:
- Well‑funded and proven startup with large ambitions, competitive salary, upsides of pre‑IPO equity packages.
- Hopper covers 100% of the premiums for the employee for a group insurance plan through Vitality Health.
- Automatic contributions when you start with Hopper through Smart Pension.
- Please ask us about our very generous parental leave, much above industry standards!
- Access to co‑working space on demand through FlexDesk AND Work‑from‑home stipend.
- Carrot Cash travel stipend.
- Unlimited PTO.
- Entrepreneurial culture where pushing limits and taking risks is everyday business.
- Open communication with management and company leadership.
- Small, dynamic teams = massive impact.
Lead, Finance Analytics & Enablement AI/ML in London employer: Drive Capital
Hopper is an exceptional employer that fosters an entrepreneurial culture, encouraging innovation and risk-taking within small, dynamic teams. With a competitive salary, generous benefits including 100% coverage of employee insurance premiums and unlimited paid time off, employees are empowered to thrive both personally and professionally. The collaborative, low-process environment allows staff backend software engineers to take ownership of impactful projects while leveraging cutting-edge AI tools, making it a rewarding place to grow your career in the heart of the tech industry.