×
Regístrese Aquí para solicitar empleo o publicarlo X

Lead, Finance Analytics & Enablement AI​/ML

Online/Remoto - Ideal para candidatos en
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
Rango Salarial o Referencia de la Industria: 150000 - 210000 EUR Anual EUR 150000.00 210000.00 YEAR
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
Qualifications
  • 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
  • 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
#J-18808-Ljbffr
Tenga en cuenta que actualmente no se aceptan solicitudes desde su jurisdicción. Las preferencias de los candidatos son decisión del empleador o del agente reclutador.
Para buscar, ver y solicitar empleos que acepten solicitudes de su ubicación o país, toque aquí para realizar una búsqueda:
 
 
 
Busque más trabajos aquí:
(Ingrese pocas palabras para obtener mejores resultados)
Localización
Aumentar el radio de búsqueda (millas)
0
200
Filtros
Nivel Educativo
Experiencia mínima requerida (años)
Publicado en los últimos:
Salario