Full-Time

Manager – Revenue Transformation & Strategy

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$120.7k - $213.6kAnnually

+ Annual Performance Bonus + Equity

Senior

Mountain View, CA, USA

Candidates from other locations will be considered.

Category
Corporate Finance
Financial Planning and Analysis (FP&A)
Finance & Banking
Required Skills
Python
SQL
Excel/Numbers/Sheets
Requirements
  • Bachelor's degree in Business, Finance, Accounting or a related field
  • US GAAP and ASC 606 technical accounting experience with a focus on software and SaaS complexities
  • CPA certification is a plus
  • Experience in SQL and Python
  • Expert in Microsoft Excel
  • 6+ years of business process improvement experience
  • 6+ years of accounting experience in revenue or related areas, observing a SOX control framework
  • Experience delivering complex projects with multiple milestones and dependencies
  • Experience in project management approaches and phases of the lifecycle as they relate to the detailed aspects of OTC operations
Responsibilities
  • Automate revenue close processes using Microsoft Excel, SQL, and Python
  • Build revenue reports and dashboards for month-end reporting and strategic analysis
  • Drive cross-functional alignment to improve order to order-to-cash process and automation efforts
  • Support the implementation of a billing and rating system to automate order-to-revenue processes
  • Develop data migration strategies and tools as part of revenue automation and system implementations
  • Gather requirements, perform User Acceptance Testing, and manage the implementation of NPI projects and other revenue-impacting initiatives
  • Design and implement improved processes that alleviate current state pain points and gaps
  • Develop business and data flow narratives and flowcharts with an emphasis on SOX considerations
  • Communicate and manage project milestones across order-to-cash and IT teams
  • Manage program risks and develop mitigation strategies to meet timelines and goals

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. Unlike many competitors, Databricks operates on a subscription-based model, generating revenue through platform access and professional services. The company's goal is to empower organizations to leverage their data effectively for better decision-making and insights.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

9%

1 year growth

38%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion for AI product development and global expansion.
  • The company plans to expand into Saudi Arabia, aligning with Vision 2030.
  • Partnerships with cloud providers enhance Databricks' scalability and performance.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • The acquisition of Tabular may pose integration challenges and disrupt operations.
  • Rapid expansion into new markets may expose Databricks to geopolitical risks.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse.
  • The platform supports collaborative data science and machine learning workflows.
  • Databricks integrates with major cloud services for seamless data management and analysis.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave