The Broad Institute of MIT and Harvard is seeking an analytical, collaborative, and systems-savvy Lead Financial Analyst- Financial Planning & Analysis (FP&A) & Systems. Reporting to the Director of FP&A, this role serves a dual purpose: driving institutional financial modeling, budgeting, and forecasting across scientific platforms and operational programs, while serving as the primary administrator and subject matter expert for the Institute's financial planning system (Workday Adaptive Planning).
The ideal candidate bridges corporate financial rigor with mission-driven research, using Adaptive Planning to streamline forecasting, enhance multi-year financial strategy, and optimize reporting across sponsored grants, gifts, and operating funds.
Key Responsibilities:
Workday Adaptive Planning Administration
Core FP&A & Strategic Financial Partnering
Qualifications & Requirements
Education & Experience
• Degree: Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field required; MBA or MS in Finance/Data Analytics preferred.
• Experience: At least 7 years of progressive FP&A experience, with at least 2+ years serving as a hands-on Administrator or Lead Developer for Workday Adaptive Planning.
• Domain Expertise: Prior experience in academic medicine, life sciences, biotechnology, or non-profit/research institutes with sponsored program funding is strongly preferred.
Skills & Competencies
• Adaptive Expertise: Demonstrated mastery of Adaptive Planning building blocks (Modeled Sheets, Cube Sheets, Master Formulas, OfficeConnect, Integration Tasks).
• Financial Acumen: Deep understanding of non-profit accounting principles, grant accounting dynamics (direct vs. indirect costs), and multi-fund accounting.
• Advanced Analytical Tools: Advanced Excel skills (complex formulas, financial modeling) and proficiency with data visualization platforms (e.g., Power BI, Tableau) or SQL is a plus.
• Communication & Influence: Outstanding written and verbal communication skills with a proven track record of synthesizing technical data into clear narratives for executive and scientific stakeholders.
The Broad will not provide sponsorship for this opportunity.
Job details are sourced from the employer's original posting.
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