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

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

06 ago
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APPLY
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Madrid

06 ago

APPLY

Madrid

ph3About the Role /h3 pHopper is looking for a bLead, Finance Analytics Enablement AI/ML /b 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. /p h3Day-to-day responsibilities /h3 ul liProvide actionable insights to drive business decisions based on finance and data analytics /li liOwn the data warehouse strategy, governance and execution of the finance ledger /li liBuild and lead a Center of Excellence for reporting including owning infrastructure and metrics across finance and the business units /li liCreate, own, implement and track success of the Finance AI automation roadmap in partnership with FPA, accounting and data /li liEstablish data pipeline and AI model foundation /li liUnderstand and optimize our GCP infrastructure costs in partnership with engineering and Financial Operations /li liEstablish Finance as the single source of truth for financial and business performance and create self-service analytics for key stakeholders /li liManage a team of 4 engineers and 1 finance and strategy manager /li liEstablish internal controls and support external audits related to data governance /li /ul h3Qualifications /h3 ul liWork experience 15+ years in travel and/or SaaS /li liBachelor's Degree, with a strong preference for a Master's degree or equivalent experience /li liEngineering background preferred /li liFluency in SQL, Python, GCP and Data Science,



hands on coding ability /li liUnderstanding of LLM-based systems, prompt design, and AI model evaluation frameworks /li liFamiliarity with automation frameworks and observability tools (Amplitude, Datadog, Looker) to assess reliability and performance /li liStrong data reconciliation skills across large, multi-source datasets /li liA bias toward first-principles thinking — questioning assumptions, stress-testing processes, and always asking why something works the way it does /li liClear communicator with senior leadership and external partners /li liComfort with ambiguity and ground-zero building /li /ul h3Nice to Have /h3 ul liBackground at a high-growth technology or marketplace company /li liExperience working cross-functionally with data engineering or warehouse teams /li /ul h3Perks and Benefits /h3 ul liWell-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages /li liHopper covers the cost of employee premiums for private medical and dental coverage /li liHopper also offers private life and accident coverage /li liVery generous parental leave, much above industry standards /li liAccess to co-working space on demand through FlexDesk and Work-from-home stipend /li liUnlimited PTO /li liMonthly cash allowances for gym memberships and home office expenses for a comfortable remote working experience /li liCarrot Cash travel stipend /li liEntrepreneurial culture where pushing limits and taking risks is everyday business /li liOpen communication with management and company leadership /li liSmall, dynamic teams = massive impact /li /ul /p #J-18808-Ljbffr

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