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Lead, Finance Analytics & Enablement AI​/ML

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Hopper
Full Time position
Listed on 2026-06-21
Job specializations:
  • Finance & Banking
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 400000 USD Yearly USD 400000.00 YEAR
Job Description & How to Apply Below

Lead, Finance Analytics & Enablement AI/ML

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
Candidate 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
Benefits
  • Well‑funded and proven startup with large ambitions, competitive salary and the upsides of pre‑IPO equity packages
  • Unlimited PTO
  • Carrot Cash travel stipend
  • Access to co‑working space on demand through Flex Desk and Work‑from‑home stipend
  • Generous parental leave, much above industry standards
  • Entrepreneurial culture where pushing limits and taking risks is everyday business
  • Open communication with management and company leadership
  • Small, dynamic teams with massive impact
  • 100% employer‑paid Medical, Dental and Vision coverage for employees
  • Access to Disability & Life insurance
  • Health Reimbursement Account (HRA)
  • Disability & Family & FSA and access to 401k plan

Compensation Range: $400K - $500K

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