Senior Manager, Data Strategy

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We are seeking a Senior Manager of Data Strategy to lead data management and governance for the FP&A organization. You will partner with various stakeholders across the business, including Data Engineering, Product, Sales Strategy, Finance, and IT to build a single source of truth for operational data and management reporting. This serves as the foundation for data-driven decision making that help drive growth for Databricks. Ideal candidates will have a strong background in business operations with a deep understanding of data management principles and practices.

Key Responsibilities:

• Develop a single source of truth that will serve as the foundation for operational and management reporting and the basis for BI tools and GenAI.
• Standardize and document key metrics and data definitions across the organization.
• Partner with Sales Strategy and GTM Planning to understand organizational design, role types, account structure, and segmentation. Ensure data compatibility and consistency across systems and teams.
• Develop and implement a strong governance framework and access controls.
• Support SOX governance implementation in a manner that is compatible with operational needs and the cadence of the business.
• Lead the intake, requirements gathering, and prioritization processes to onboard new ingestion pipelines, datasets, and metrics.

Requirements:

• 8+ years of experience in business operations, finance, or a related technical field
• Strong understanding of data management principles and practices, including data governance, quality, and architecture
• Excellent communication and interpersonal skills, with the ability to collaborate with technical and non-technical stakeholders
• Proficiency in SQL and experience with data querying and analysis
• Familiarity with programming languages like Python
• Knowledge of data structures and ETL
• Ability to translate business requirements into technical specifications and communicate effectively with engineering and IT teams
• Strong analytical and problem-solving skills with the ability to think strategically and drive business outcomes

Nice To Have:

• Experience with data management technologies such as data lakes, data warehouses, and data governance tools
• Familiarity with cloud-based data platforms and architectures
• Knowledge of data security and compliance regulations
• Experience leveraging GenAI tools in a professional setting

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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$189,900—$265,875 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.