Finance Transformation Lead, Plan to Report
Google is looking for Finance Transformation Lead, Plan to Report in Sunnyvale, TX.
This local job opportunity with ID 3863318582 is live since 2026-10-02 08:16:19.
Overview
Overview
In this role you drive the day-to-day implementation of planning, reporting, and performance management processes within Google's AI-enabled forecasting initiatives. You will collaborate with Finance and Technology teams to map current workflows and design future-state processes, surfacing gaps and aligning leadership on resolution. You shape end-to-end design-to-deployment for a broad, Alphabet-wide integrated planning platform that delivers real-time insights to inform decisions. You'll foster a culture of continuous learning across transformation workstreams, contributing to scalable, data-driven decision making.
Compensation / Benefits- bonus target
- equity
- benefits
- Lead day-to-day implementation of P2R processes, tools, and systems
- Map current-state processes and design future-state workflows across cross-functional teams
- Surface caveats and present conflicting viewpoints to leadership for resolution
- Shape design-to-deployment approach for Alphabet-wide Integrated Planning and AI-powered forecasting system
- Cultivate a culture of continuous learning across transformation workstreams
- Bachelor's degree in Business, Finance, Economics, Statistics, or a related quantitative field, or equivalent practical experience
- 7 years of experience in FP&A, consulting, or related function (or 5 years with advanced degree)
- Experience with enterprise analytics, reporting tools, and process optimization
- Expertise in business process mapping (current and future state) and developing governance frameworks
- Growing capability in change management and cross-functional stakeholder coordination
- Highly organized, detail-oriented, proactive in identifying roadblocks
- Cross-functional collaboration
- Stakeholder management
- Strong communication
- Enterprise analytics
- Reporting tools
- Process optimization