Chan Zuckerberg Initiative
FPA Manager, Finance
Redwood City, CA (Hybrid) · Director
Sponsorship not specified$138k-$189kDetected 48 days ago
Data EngineeringSalesforceFinancial ModelingForecastingFP&AERPHRISCompensationLeadershipCommunicationCollaborationProblem Solving
About the role
- The role serves as the Finance point of contact for a portfolio of Central teams, while supporting Learning Commons financial execution under Finance leadership.
- This is an ideal opportunity for a seasoned finance professional who is energized by both strong business partnership and leveraging AI and automation to modernize how finance work gets done.
Responsibilities
- Own day-to-day financial management across Opex and People spend, ensuring accurate tracking, forecasting, and reporting across supported functions.
- Manage budget vs. actuals analysis across operating expenses, grants and headcount-related spend
- proactively identify risks, variances, and emerging trends and surface insights to Finance leadership and business partners.
- Lead People cost forecasting, including headcount tracking, new hire modeling, and compensation-related expense management in partnership with business leaders and People teams.
- Drive monthly close activities, including accrual preparation across Opex and reconciliation across systems to ensure data integrity.
- Lead the identification and implementation of AI-driven and automation improvements across recurring finance processes - including accrual workflows, forecast updates, headcount tracking, and reporting packages - with a focus on reducing manual effort, improving accuracy, and building scalable solutions.
- Actively leverage AI tools in day-to-day finance work, from drafting variance narratives and summarizing stakeholder-ready insights to accelerating model builds and streamlining repetitive analytical tasks.
- Build and enhance scalable reporting infrastructure, leveraging Adaptive, Workday, Salesforce, Sheets, and other tools to reduce manual work and improve data transparency.
- Develop dashboards and self-service reporting tools that empower stakeholders and reduce ad hoc requests over time.
- Proven ability to manage business partner relationships across multiple teams, serving as an organized, reliable Finance resource while also supporting deeper FP&A execution for a primary portfolio.
Requirements
- Experience working with Adaptive Planning (or comparable forecasting software), Workday Financials (or similar ERP systems), and Salesforce, with strong proficiency in Google Suite (Sheets, Docs, Slides).
Compensation
- The Redwood City, CA base pay range for a new hire in this role is $138,000 - $189,000.
- This position may be eligible to participate in CZI's discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with CZI's total rewards philosophy and may vary by role.
- Lead annual planning and reforecast cycles, building detailed financial models and partnering with stakeholders to translate operational inputs into structured financial forecasts.
Benefits
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Benefits for the Whole You
- To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
Company info
- Across our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission.
- Our Operations organization provides the support needed to push this work forward.
- Operations consists of our Brand & Communications, Central Tech, Finance, People, Real Estate/Workplace/Events/Facilities/Security (REWFS), Strategy & Operations, and Ventures teams.
- These teams provide the essential operations, services, and strategies needed to support CZI's progress toward achieving its mission to build a better future for everyone.
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This listing is sourced directly from Chan Zuckerberg Initiative's careers page and normalized into a canonical job model.