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

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

05 sep
|
APPLY
|
Madrid

05 sep

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

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