Lead, Finance Analytics & Enablement AI/ML (Madrid)

Lead, Finance Analytics & Enablement AI/ML (Madrid)

03 ago
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APPLY
|
Madrid

03 ago

APPLY

Madrid

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 FlexDesk 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

📌 Lead, Finance Analytics & Enablement AI/ML (Madrid)
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