Lead, Finance Analytics & Enablement AI/ML
Skills
Software As A ServiceAnalyticsArrangingBusinessBusiness IntelligenceData AnalyticsData Warehousing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 15+ years of experience in travel or SaaS
- Bachelor's degree required; Master's degree preferred or equivalent experience
- Engineering background preferred
- Fluency in SQL Python GCP and data science with hands-on coding ability
- Understanding of LLM-based systems prompt design and AI model evaluation frameworks
- Experience with automation frameworks and observability tools such as Amplitude Datadog and Looker
- Strong data reconciliation skills across large multi-source datasets
- Clear communication with senior leadership and external partners
- Comfort with ambiguity and ground-zero building
Nice to have
- First-principles thinking
- Cross-functional mindset
- Leadership presence
- Comfort with ambiguity
- Hands-on builder
Day to day
- Own the finance data warehouse strategy and drive governance across the finance ledger and reporting stack
- Deliver actionable insights that shape business decisions and strengthen financial and operational performance
- Build and lead a Center of Excellence for reporting, self-service analytics, and Finance AI automation across teams
