Corporate FP&A Manager

Posted 16 Hours Ago
Be an Early Applicant
2 Locations
In-Office
169K-233K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Manage corporate cash flow forecasting across monthly, annual, and long-range planning cycles. Lead quarter-end cash landing, report cash metrics to executives and the Board, and coordinate capital, fundraising, debt, and liquidity forecasts with Treasury. Build financial models, translate complex data into actionable insights, and automate cash reporting and planning processes using Databricks, SQL, dashboards, and AI tools.
Summary Generated by Built In

(GAQ128R98)

Mission

Databricks is seeking a Manager to join our Corporate FP&A team. In this role, you will report to the Director of Corporate FP&A and help empower the broader FP&A organization. You will play a key role in driving cash forecasting processes and translating complex financial data into clear reports. You’ll partner with leaders across functions to support cash management. 

The impact you will have
  • Drive the cash flow forecast. Maintain the company's direct and indirect cash flow forecasts through each monthly forecast cycle, annual plan, and long-range plan. Bring together inputs on collections, payroll, vendor payments, commissions, taxes, capital expenditures, and cloud infrastructure spend into one company-wide view.
  • Lead quarter-end cash landing. Run the intra-quarter process and work with cross-functional finance teams to minimize free cash flow variance. 
  • Report the metrics that matter. Manage the key metrics of cash flow for monthly business reviews, quarterly CFO reviews, and Board materials. 
  • Capital timing. Partner closely with our treasury and strategic teams to coordinate our capital, fundraising, and debt forecasts.
  • Automate and scale. Use Databricks, SQL, and AI tools to automate cash positioning, cash landing, and cash flow reporting, and help guide our planning processes through upcoming finance system changes.
What we look for
  • Bachelor's degree in Finance, Accounting, Economics, or a related quantitative field
  • 6-8+ years of experience in FP&A, Corporate Finance, or a related field (such as banking or accounting), ideally at a technology, SaaS, or consumption-based company
  • Hands-on experience building and owning direct and indirect cash flow forecasts
  • Strong understanding of the three financial statements and how billings, collections, payables, payroll, and capital spending flow through to cash
  • Experience working with Treasury on cash, liquidity, and interest forecasting
  • Strong financial modeling skills in Excel and Google Sheets, with experience in a planning tool such as Anaplan
  • Experience using, or a strong interest in using, SQL, dashboards, and AI tools to automate recurring finance work
  • Familiarity with ERP and finance systems such as SAP and NetSuite is a plus. Experience with Databricks is preferred.
  • Clear written and verbal communication, including turning complex analysis into simple takeaways for executives
  • Calm, organized execution under tight quarter-end deadlines, and the confidence to raise risks early and hold partners accountable for their inputs

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.


Zone 1 Pay Range
$169,100—$232,550 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Skills Required

  • Bachelor's degree in Finance, Accounting, Economics, or a related quantitative field
  • 6-8+ years of experience in FP&A, Corporate Finance, banking, accounting, or a related field
  • Experience in a technology, SaaS, or consumption-based company
  • Hands-on experience building and owning direct and indirect cash flow forecasts
  • Strong understanding of the three financial statements and cash flow drivers including billings, collections, payables, payroll, and capital spending
  • Experience working with Treasury on cash, liquidity, and interest forecasting
  • Strong financial modeling skills in Excel and Google Sheets
  • Experience with a planning tool such as Anaplan
  • Experience using, or strong interest in using, SQL, dashboards, and AI tools to automate recurring finance work
  • Familiarity with ERP and finance systems such as SAP and NetSuite
  • Experience with Databricks
  • Clear written and verbal communication, including presenting complex analysis as executive takeaways
  • Ability to execute calmly and organize work under tight quarter-end deadlines
  • Confidence raising risks early and holding partners accountable for inputs

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, vision, and mental-health support with EAP and wellness stipends. Feedback suggests these offerings are a core strength across locations, though specifics may vary by region.
  • Equity Value & Accessibility — Equity and annual bonuses are highlighted as competitive and a major draw, aligning employee success with company growth. Feedback suggests stock options are seen as lucrative, particularly for certain roles and incumbents.
  • Leave & Time Off Breadth — Flexible/unlimited PTO and robust paid parental leave are called out as notable components of the package. Feedback suggests these policies support flexibility alongside performance expectations.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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