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

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

05 ago
|
Hopper
|
España

05 ago

Hopper

España

About the Role
Obtenga más información sobre las tareas generales relacionadas con esta ocasión a continuación, así como sobre las habilidades requeridas.

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

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- 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

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- 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

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- Background at a high-growth technology or marketplace company

- Experience working cross-functionally with data engineering or warehouse teams

Perks and Benefits

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- 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 (España)
🏢 Hopper
📍 España

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