Partner Enablement Operations Manager
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the partner enablement operating model, run QBRs and executive reviews, and lead end-to-end execution of enablement initiatives across regions. You will build dashboards, design scalable workflows, SOPs and SLAs, introduce AI-enabled automation, and resolve cross-regional escalations. You will work with the Partner organization, Learning and Enablement and Professional Services. Flexibility with late hours is needed to overlap with AMER timezone colleagues.
Requirements
- 10+ years in Learning Operations, Program Management, Professional Services Operations or related operational leadership in a high-growth tech environment
- Experience supporting global or multi-region teams
- Experience in the Data & AI space preferred
- Ownership of operating cadence, forecasting and planning in a matrixed environment
- Strong analytical capability
- Experience improving processes through automation or AI
- Strong stakeholder management and influence skills
- Ability to work independently across time zones
- Flexible schedule including frequent late hours for AMER timezone
- Cross-functional alignment and strategic delivery experience
- Experience designing workflow automation, intake management and operational reporting
Responsibilities
- Own the partner enablement operating model, planning cadences and governance
- Run QBRs, MBRs and executive reviews with clear metrics
- Lead end-to-end execution of partner enablement initiatives
- Build and maintain dashboards and operating reviews
- Act as point of contact for cross-regional operational issues and escalations
- Design scalable workflows, SOPs, SLAs and intake mechanisms
- Introduce AI-enabled and automation-first workflows
- Collaborate with Partner, Learning and Enablement, and Professional Services teams
- Partner with the broader operations business to scale new methods
- Establish ownership models, decision rights and governance guardrails
- Architect automated intake management workflows and SLA tracking
- Establish standardized metric definitions and executive reporting frameworks