GAQ426R180
While candidates in the listed location(s) are encouraged for this role candidates in other locations will be considered.
Databricks is looking for a Finance Manager to join our FP&A team in our mission to help data teams solve the worlds toughest this role you will own FP&A responsibilities related to enterprise partnerships. You will work cross-functionally with various stakeholders including Data Engineering and Product to ensure seamless new product introductions and changes to Databricks commercialization strategy. Importantly you will partner externally with Microsoft regularly to facilitate accurate reporting for Databricks first party product partnership. Ideal candidates will have a strong background in business operations and product analytics.
Key Responsibilities:
- Partner with Commercialization and Business Development teams to understand and operationalize new partnerships pricing changes and new product introductions.
- Partner with GTM and R&D Finance teams to build consumption forecasts and product analytics.
- Own monthly external reporting cadences with Databricks cloud partners including Microsoft and SAP.
- Manage communications and serve as the primary business partner to the Databricks GTM leadership team for partner-based consumption.
- Lead reporting and data curation for ad hoc deliverables and events including investor and analyst relations.
Requirements:
- 7 years of experience in business operations finance or a related technical field
- Communication: Excellent communication and interpersonal skills with the ability to collaborate with technical and non-technical stakeholders. Ability to translate business requirements into technical specifications and communicate effectively with engineering and IT teams.
- Financial Modeling: Be able to understand and update financial models that follow industry best practices. Can maintain complex spreadsheets. Expertise in Google Sheets a plus.
- Proficiency in SQL and experience pulling data from varied sources. Familiarity with data structures and data warehousing models.
- 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
- Experience leveraging GenAI tools in a professional setting
Required Experience:
Manager