Staff Technical Program Manager, Corporate Operations

Posted 13 Days Ago
Be an Early Applicant
San Francisco, CA
172K-264K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The role involves driving executive-level decisions, developing strategies, conducting business analyses, and improving forecasting methodologies with cross-functional teams.
Summary Generated by Built In

GAQ226R141

Mission

The Corporate Operations Group exists to operationalize the Databricks corporate strategy by leading the optimization of programs, processes, and cross functional initiatives to scale the business for continued hyper-growth. This role reports to the Sr. Director of Corporate Strategy & Operations and focuses on developing & executing strategies across countries, verticals, and cloud service providers to drive company-wide impact. 

Impact you will have

  • Drive executive-level decisions and investments through business case analysis and strategy development.
  • Translate company strategy into measurable KPIs and work with stakeholders to develop dashboards & automation to facilitate exec visibility.
  • Conduct analysis, evaluate opportunities, and drive investment by country, industry, and cloud.
  • Develop actionable frameworks to align GTM and R&D teams on unified action plans to close target gaps. 

Outcomes

  • In collaboration with GTM and R&D leadership, developed an effective strategy & execution plan which maximizes the growth and availability of Databricks software, while minimizing the operational cost.
  • Utilized an understanding of customers, partners, market sizing, and industry trends to to allocate investments effectively on a global scale.
  • Developed cross functional strategies in support of GTM and product teams, increasing win-rates and improving our positioning against the competition.
  • Supported long range planning, identifying opportunities and risks in planning assumptions.
  • In collaboration with the FP&A and Data Science team, improved our company forecasting methodologies to increase visibility into trends.
  • Provided counsel to the executive team on long-term, multi-billion dollar investment opportunities.

Competencies

  • 5+ years in strategy, operations, and/or product leadership roles with a proven ability to independently lead and deliver a comprehensive, company-level strategy.
  • Strong business analytics and reporting experience; experience using SQL, Python, or similar data science languages.
  • Experience with enterprise software financial analysis and a strong understanding of cloud infrastructure.
  • Self-driven, with a track record of exceptional results in challenging circumstances.
  • Excellent communication skills (written and oral) as well as proven relationship-management skills; ability to present complex ideas in a clear, concise fashion to all levels, including senior executive levels.
  • Education: MBA with a technical undergrad degree preferred, but not required.

Pay Range Transparency

Databricks 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

$171,900$263,600 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

Python
SQL
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The Company
New York, NY
2,200 Employees
On-site Workplace
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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