Lead, Finance Analytics & AI/ML
Core
Lead finance analytics and AI/ML initiatives to build data pipelines, AI models, and automation frameworks that serve as the single source of truth for financial performance and enable self-service analytics.
Role type
Lead, Finance Analytics & AI/ML
Builds
Data warehouse strategy, governance, AI automation roadmap, and reporting center of excellence for finance and business units.
Domain
Travel technology, Finance, Machine Learning, Data Engineering
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
SQL, Python, Google Cloud Platform, data science, LLM-based systems, prompt design, AI model evaluation, data reconciliation, automation frameworks, observability tools, first-principles thinking
Preferred skills
Engineering background, experience at high-growth technology or marketplace companies, cross-functional experience with data engineering or warehouse teams
Technologies
Google Cloud Platform, Datadog, Looker, Amplitude, LLM, AI Cloud Data Warehouse
Responsibilities
Own the data warehouse strategy, governance, and execution for the finance ledger; build and lead a reporting center of excellence; create and monitor the Finance AI automation roadmap; establish foundations for data pipelines and AI models; analyze and optimize GCP infrastructure costs; manage a team of 4 engineers and 1 finance and strategy manager; establish internal controls and support external audits.
Seniority
Senior, hands-on IC with team leadership