Program Analyst, Legal Ops
Databricks · Bellevue, WA | Denver, CO | Seattle, WA | Washington, DC · Legal
About this role
Databricks is hiring a mid-level Program Manager in the operations function based in Bellevue, WA | Denver, CO | Seattle, WA | Washington, DC. The posting calls out experience with Spark, Databricks, MLflow, Salesforce. Compensation is listed at $92,200–$126,700 per year.
- Role
- Program Manager
- Function
- operations
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Bellevue, WA | Denver, CO | Seattle, WA | Washington, DC
- Department
- Legal
More roles at Databricks
Job description
from Databricks careersGAQ426R79
About the Team
The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity.
What we look for
Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team’s AI and scaling initiatives, including working with the Commercial Legal Center of Excellence (CoE). The dedicated Program Analyst will work to align, program manage, and track the multiple high-priority initiatives. This role is essential to enable the Commercial Legal team to effectively achieve Databricks' long-term corporate goals.
The impact you will have
- Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track upcoming projects and initiatives; gather and organize information to inform leadership decisions on cross-functional projects; and help coordinate complex post-M&A integration tasks as needed and the implementation of post-signature strategic partnerships, alliances.
- Improving Cross-Functional Interlock: The role will provide a dedicated point of contact, enabling tighter and more efficient interlock with strategic alliances, partnerships, product legal, commercialization, and finance.
- Lead the end-to-end implementation of AI tools to automate routine tasks and enhance productivity.