Sr. Manager, Finance - Headcount Planning & Total Rewards

Posted 12 Days Ago
Be an Early Applicant
2 Locations
In-Office
190K-266K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Senior Finance Manager will lead headcount planning and financial modeling, providing insights for investment decisions and collaborating with various teams to optimize costs.
Summary Generated by Built In

GAQ326R421

Databricks is looking for a Senior Finance Manager to join our FP&A team in our mission to help data teams solve the world's toughest problems.  In this unique role, you will serve as a trusted advisor to Finance leadership, providing financial insights, analysis, and guidance to optimize investment decisions and accelerate business growth.

As a finance professional who has experienced hyper-growth, you will help the business to be successful and achieve its goals, grounded in financial reality and modeling, and analysis. You will work independently to serve as a key financial business partner to senior Finance leadership, leading data-driven decision-making and process improvement.  Reporting to the Senior Director of Corporate FP&A, you will have the opportunity to make a significant impact by driving the continued evolution of our Corporate FP&A team.

The impact you will have:

  • Own the process by which we forecast headcount across the company.  
  • Work closely with the Compensation team on modeling cash & equity compensation costs in the short- and long-term. 
  • Work across the FP&A, Human Resources, Corporate Operations and Systems teams to drive consistency in how we forecast and manage headcount units and costs across the company
  • Partner with Benefits, Payroll, and Tax teams to forecast employee costs including benefits, payroll taxes, and equity expenses. Model benefit plan design changes and manage self-insured medical plan risk assessment.
  • Own the finance workstreams of our company-wide equity budgeting process.
  • Own the equity and capital model on forecasting our short- and long-term capital needs.
  • Partner with the Equity Administration team to model tender offer scenarios.    
  • Partner with the Corporate Tax team on modeling US & international income & other business taxes.  
  • Partner with the Treasury team on forecasting interest income and expense on our cash and debt balances.   

What we look for:

  • Bachelor's Degree in Business, Finance, Economics, Accounting, or a comparable quantitative field
  • 7-10 years of FP&A, Strategic Finance, or related experience (e.g., Investment Banking, Management Consulting), with a focus on technology; familiarity with the software industry, SaaS business, or consumption-based models  
  • Experience leading headcount planning processes, including equity compensation and employee benefits and taxes.
  • Financial modeling skills and quantitative analysis experience
  • Expert in Excel and Google Sheets
  • Knowledge of generally accepted accounting principles and experience with GAAP and non-GAAP financial metrics
  • High competency with systems such as Anaplan, Netsuite, Salesforce, Coupa, Zip and Workday

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
$189,900$265,875 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks. 

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.

Top Skills

Anaplan
Coupa
Excel
Google Sheets
NetSuite
Salesforce
Workday
Zip
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The Company
New York, NY
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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