Senior Manager, Data Strategy

GAQ426R226

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