Who you are
- 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
- Background at a high-growth technology or marketplace company
- Experience working cross-functionally with data engineering or warehouse teams
What the job involves
- 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
- 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 tru
📌 Finance Analytics (España)
🏢 Hopper
📍 España