Lead, Finance Analytics & Enablement AI/ML
Online/Remoto - Ideal para candidatos en
España
Publicado en 2026-07-24
España
Empresa:
Hopper
Remoto/Desde casa
puesto Publicado en 2026-07-24
Especializaciones laborales:
-
TI/Tecnología
Analista de datos, Gerente de Ciencias de Datos, Tecnologia de Negocios
Descripción del trabajo
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.
Day-to-day responsibilities- 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
- 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
- Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages
- Hopper covers the cost of employee premiums for private medical and dental coverage
- Hopper also offers private life and accident coverage
- Very generous parental leave, much above industry standards
- Access to co-working space on demand through Flex Desk and Work-from-home stipend
- Unlimited PTO
- Monthly cash allowances for gym memberships and home office expenses for a comfortable remote working experience
- Carrot Cash travel stipend
- Entrepreneurial culture where pushing limits and taking risks is everyday business
- Open communication with management and company leadership
- Small, dynamic teams = massive impact
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