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 work experience in travel and/or SaaS
- Bachelor's degree required with Master's 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
- Familiarity 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
- Ambiguity tolerance
- Leadership presence
- Cross-functional mindset
- Analytical rigor
Day to day
- Provide actionable insights to support finance and business decisions using advanced analytics and reporting.
- Own the data warehouse strategy governance and execution for the finance ledger while improving data quality and reliability.
- Build and lead a reporting Center of Excellence and drive Finance AI automation roadmap with FP&A accounting and data teams.
- Establish data pipelines AI model foundations and self-service analytics while managing infrastructure costs internal controls and audit support.
