MongoDB is seeking a Senior Manager, Financial Planning and Analysis (FP&A) to lead our G&A FP&A team. You'll partner directly with senior G&A leadership, including Finance, Legal, People/HR, and IT to own financial planning, forecasting, and reporting across the G&A cost base, while building and developing a high-performing team of analysts. You communicate clearly, manage up and across with ease, and are able to successfully juggle multiple priorities. You are a driven self-starter who takes tasks from start to finish, is comfortable working with senior leadership, and enjoys working in a fast-paced, challenging environment. You are responsive, adapt quickly to change, embrace ambiguity, and champion the advancement of analyses, planning tools, systems, and controls.
The working model for this role is flexible. We are open to fully remote or hybrid in-office/remote in our Austin, New York, or Dublin offices.
Responsibilities
People Management: Lead, mentor, and develop a team of analysts, setting the bar for a world-class G&A FP&A function and building a strong bench for future growth
Business Partnering: Serve as the primary FP&A partner to G&A leaders (Finance, Legal, People/HR, and IT), building a deep understanding of their business drivers and ensuring their plans align with overall company objectives
Forecast Coordination & Consolidation: Own the G&A forecasting and budgeting process end-to-end, including headcount planning and optimization, opex forecasting, and reconciliation of actuals to plan. Consolidate team-level outputs into a coherent G&A view and keep a pulse on how the function is performing against plan
Management Reporting: Develop and deliver reporting that summarizes G&A performance and drives decision-making for senior management, including the Chief Financial Officer, Chief People Officer, Chief Information Officer, Chief Legal Officer and other executive stakeholders
Planning Systems & Financial Models: Partner business teams to modernize and automate G&A forecasting and planning tools, including continued build-out of our forecasting in the Pigment financial planning system
AI Automation: Champion and standardize the use of AI across the G&A FP&A team to improve speed and quality of analysis
Month-End Close: Oversee month-end close activities for G&A, including headcount reconciliations, accrual reviews, and budget-vs-actuals analysis and reporting
Workforce Planning: Partner with Recruiting and HR to drive alignment on workforce planning and reporting for G&A executives and their leadership teams
What You'll Need
Bachelor's Degree; finance, business, or economics preferred, MBA a plus
6+ years of experience within FP&A or other finance functions, including prior experience managing or mentoring a team
Expert in financial modeling, Google Suite, Microsoft Excel, and Pigment (or comparable financial planning tools).
Confidence to forge strong relationships with business partners at all levels of the organization; prior experience business partnering with G&A functions a plus. Strong ability to manage challenging stakeholders with varying incentives and needs
Extremely organized with a natural bent toward making sense of mess
Highly detail-oriented, with a track record of producing accurate, error-free work even under tight deadlines
Highly articulate with excellent verbal and written communication skills; able to adjust your communication style to stakeholders at various levels of seniority and various levels of financial fluency
Ability to analyze data, draw conclusions, and develop actionable recommendations
Strong project / team management skills; an ability and desire to train and manage a team of analysts and successfully own and develop the cadence of a function
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
REQ ID: 3273528999
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is:$101,000—$198,000 USD