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CSQ324R94
Databricks is looking for a motivated Strategy and Operations Manager to join our Go-to-Market (GTM) Strat Ops team. We help build Learning & Enablement strategy, provide strategic analyses, and drive a data-driven decision making approach to our successful & fast-growing Learning business.
You will use data and qualitative information to help Learning & Enablement Leadership manage the business. You will support essential aspects of our GTM design and annual planning process. You will help build our data and analytics foundation including executive reporting, health of business reviews, dashboards, and indicators. You will work with our Enablement, Finance, Data, Operations, and other GTM teams.
The impact you will have:
- Establish the Learning Strategy and build processes in place to ensure we have the right investments at the right time
- Be a trusted partner to the Learning Leadership team by defining, tracking, and implementing goals, programs, and strategies that scale
- Guide annual GTM planning process (FY and long-range modeling, Return on Investment analysis, HC planning, capacity setting)
- Design and manage headcount forecasting process (FY, long-range, and quarterly modeling)
- Lead executive analyses, strategies, and deliverables (e.g. QBR)
- Promote Databricks enterprise cloud data platform powered by Apache Spark™
- Provide visibility and performance tracking to the business (business reviews, productivity Indicators, dashboards)
- Maintain and develop our data and reporting foundation
What we look for:
- 5+ years of strategy & operations experience (Investment banking, strategy consulting, business operations, SaaS experience)
- Ability and passion to analyze, set priorities, and solve complex problems
- Propensity to summarize complex concepts and data and present clear information to executives, teams, and internal customers
- Data expert: Querying and scoping (SQL), analysis (Excel), summarizing (pivot tables, charts, slides, written explanation), reporting (dashboards)
- Rigor and attention to detail to drive a business cadence and drive execution
- Passion for working highly collaboratively across GTM functions
- A fondness for customer service, patience and humility in a very faced paced growth business
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
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.
