Lead, Finance Analytics & Enablement AI/ML

Hopper•New York, NY

5d•$400,000 - $500,000•Remote

About The Position

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.

Requirements

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 Haves

Background at a high-growth technology or marketplace company
Experience working cross-functionally with data engineering or warehouse teams

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