Hopper

Lead, Finance Analytics & Enablement AI/ML

New York, New York, United StatesRemoteFull timeLead$400,000 - $500,000 / yearPosted 12 days ago
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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.

WHAT WOULD YOUR DAY-TO-DAY LOOK LIKE:

- 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

AN IDEAL CANDIDATE HAS:

- 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, stre...

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