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Lead, Finance Analytics & Enablement AI/ML

Hopper · Toronto - Remote

RemoteFinanceFinanceFinancePosted 6 weeks ago
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About this role

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, stress-testing processes, and always asking why some

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