Description
We are looking for a Manager of Finance to join our Strategic Finance Analytics team. This individual will build AI-enabled tools and data foundations that change how Finance works, and will pair them with sharp business analysis that turns data into decisions.
Building with AI & Data Infrastructure
- Design and build AI-enabled workflows, agents, and tools that automate manual, repeatable analysis and reporting, reducing cycle time and analytical risk
- Use LLMs, copilots, and automation platforms alongside SQL and Python to accelerate data preparation, pattern identification, anomaly detection, and insight generation
- Build bespoke datasets and analytical frameworks to support emerging business questions across the enterprise
- Maintain dashboards and self-service reporting (e.g., Tableau) where they provide durable value for cross-functional partners
- Champion AI adoption within Finance & Strategy (F&S) by sharing best practices, prototypes, and reusable components with the broader team
Business Analysis & Partnership
- Deliver analyses on historical trends, forecast drivers, and emerging business questions to inform planning and decision-making
- Contribute a Finance & Strategy (F&S) perspective to forecast cycles, connecting data signals to drivers, risks, and variances
- Partner with Corporate Finance, Product Finance, GTM, and Analytics/Ops teams to align on metric definitions and data sources, and to keep operational data consistent with financial reporting
- Own the integrity of the datasets behind your work, validating against source systems and serving as the first line of defense for anomalies
- Translate findings into clear business terms and recommendations for senior F&S stakeholders
Requirements
- 5+ years of experience in FP&A, corporate finance, or strategic analytics
- Demonstrated experience building with AI: using LLMs, copilots, or automation platforms to create working tools, agents, or workflows that accelerate analysis and improve efficiency
- Strong business analysis skills, with the ability to translate ambiguous questions into structured analyses and clear, actionable recommendations
- Advanced SQL proficiency and working knowledge of Python; experience with Snowflake or equivalent modern data stack tools (Tableau or similar BI experience a plus)
- Exceptional attention to detail and a strong sense of ownership over data quality and reporting accuracy
- Demonstrated ability to partner cross-functionally and communicate findings to senior stakeholders