Manager, Strategy & Operations in Bombay, भारत

SLSQ227R598

Databricks is looking for a motivated Sr. Manager, Strategy & Operations to join our Field Engineering team that helps define Go-To-Market (GTM) strategy, provides strategic analyses and instills operational thoughtfulness to our successful & fast-growing GTM business.

You will use data and qualitative information to help our Sales and Field Engineering Leadership manage the business. You will support essential aspects of our GTM design and annual planning process. This is an individual contributor role. You will help build our data and analytics foundation including executive reporting, health of business reviews, dashboards, and Indicators. You will work with our Field Engineering, Sales, Finance, Data, Marketing, Order Ops, and other GTM teams. You will report to the Sr. Director, Strategy and Ops.

The impact you will have:

• Establish the GTM Strategy and build processes in place to ensure we have the right investments at the right time
• Be a trusted partner to the GTM Leadership by defining, tracking, and implementing goals, programs and strategies that scale
• Guide annual GTM planning process (FY and long-range modeling, investment Return on investment analysis, HC planning, capacity setting)
• Design and manage the headcount forecasting process (FY, long-range, and quarterly modeling)
• Lead executive analyses, strategies, and deliverables (e.g., board materials, QBR)
• Provide visibility and performance tracking to the business (Operational councils, Ops reviews, rep. efficiency and productivity Indicators, dashboards)
• Help build our data and reporting foundation
• Improve operational efficiency by automating and improving processes, and dashboards that scale

What we look for:

• 7+ years of strategy & operations experience (Investment banking, strategy consulting, FP&A, business operations, Enterprise/Mid-Market 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, Databricks, BigQuery), analysis (Excel), summarizing (pivot tables, charts, slides, written explanation), reporting (dashboards, repositories)
• Process expert: Envision E2E process change to solve our needs, drive agreement, document requirements, guide execution in partnership with IT, perform UAT, and report on progress
• Proficient in BI and sales tools (eg: Salesforce, Tableau etc.)
• Passion for building and working in a high performance global team
• A fondness for customer service and patience

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 .

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.