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Databricks
Berkeley, CA | Full Time
$167k-217k (estimate)
2 Weeks Ago
Manager - Finance Commercialization, PMO and Operations
Databricks Berkeley, CA
$167k-217k (estimate)
Full Time | IT Outsourcing & Consulting 2 Weeks Ago
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Databricks is Hiring a Manager - Finance Commercialization, PMO and Operations Near Berkeley, CA

GAQ425R17
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Databricks is looking to fill the position of Manager, Finance Commercialization, PMO and Operations reporting to the Senior Manager, Finance Commercialization, PMO and Operations. As a strategic owner driving innovation and efficiency at scale, you will partner with the Finance teams across Order to Revenue (Revenue Operations, Billing, Revenue Accounting, Revenue Assurance), Accounting, FP&A, as well as work cross-functionally with teams such as IT, Go-to-market, Pricing and Sales Operations.
Planning, leading and executing on global, cross-functional, enterprise-wide projects that impact the Finance organization should be your passion. The ability to plan and execute effectively while collaborating across teams and locations will be key to success in this role. In this role you will remove friction for the Finance team by developing organization-wide standards, leading programs, including communications, reporting and metrics, optimizing processes, and driving technology improvements.
The Impact You Will Have
  • Intake, prioritization and capacity planning across the organization
  • Go to person for project information including detailed project plans, resource allocations, risks/issues remediation, status reporting, and metrics
  • Ability to manage multiple complex cross-functional programs at once
  • Design and improve processes through analysis of current state, capturing pain points/gaps, developing future state process flows, and executing roadmaps
  • Become a trusted advisor and partner with subject matter experts to understand their goals, processes, and pain points to deliver solutions
  • Drive standardization of Order-To-Cash processes and identify automation opportunities
  • Build and support reporting to facilitate Order-to-Cash processes and analyses
What We Look For
  • Bachelor's degree in Business, Finance, Accounting or related field
  • 5 years of experience working in Finance or Accounting function
  • 5 years of leading cross-functional projects and programs
  • Strong experience in program management, executive communications, reporting and metrics
  • Experience in process design, mapping and optimization
  • Expert-level presentation skills including developing Google Slides presentations
  • Understanding of global Quote-to-Cash processes including order management, billing, collections, cash application, and revenue recognition, as well as general Accounting understanding
  • Experience with SOX controls on both the business process and IT side
  • Experience with JIRA and other project management tools
  • SaaS industry experience
Benefits
  • Medical, Dental, and Vision
  • 401(k) Plan
  • FSA, HSA and Commuter Benefit Plans
  • Equity Awards
  • Flexible Time Off
  • Paid Parental Leave
  • Family Planning
  • Fitness Reimbursement
  • Annual Career Development Fund
  • Home Office/Work Headphones Reimbursement
  • Employee Assistance Program (EAP)
  • Business Travel Accident Insurance
  • Mental Wellness Resources
Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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
$120,700—$213,600 USD
Zone 2 Pay Range
$108,600—$192,300 USD
Zone 3 Pay Range
$102,600—$181,600 USD
About DatabricksDatabricks 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.
Our Commitment to Diversity and InclusionAt 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.
ComplianceIf 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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$167k-217k (estimate)

POST DATE

08/25/2024

EXPIRATION DATE

09/20/2024

WEBSITE

databricks.com

HEADQUARTERS

SAN FRANCISCO, CA

SIZE

500 - 1,000

FOUNDED

2021

TYPE

Private

CEO

ALI GHODSI

REVENUE

$50M - $200M

INDUSTRY

IT Outsourcing & Consulting

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Databricks is a machine learning-based big data analytics firm that provides data management and spatial framework solutions for businesses.

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