SLSQ227R599
The Partner Strategy & Operations team supports Databricks' robust ecosystem of Cloud, SI, and ISV partners, working with the Databricks Partnerships team. Our team is laser-focused on driving operational scale in an extremely high-growth environment. We empower our stakeholders and senior leadership with the insights, tools, and decision criteria to inform proactive, effective, and data-driven programmatic strategies.
The Role
- You will play a key role in scaling the operational backbone of Databricks' partner ecosystem. In this role, you will own partner operations workstreams end-to-end - from process execution and systems management to reporting and cross-functional coordination - with impact spanning the Partner Strategy & Operations sub-function on a 6–12 month horizon, measured by efficiency gains, partner data quality, and cost/time savings across the partner ecosystem.
- You will scope and lead mid-sized, moderately complex or ambiguous projects independently, balancing multiple priorities and exercising sound judgment on trade-offs and when to escalate. You will regularly influence Directors and Sr. Directors across Partner Sales, Alliances, Finance, IT, and Marketing through data-backed recommendations.
- You will take an AI-first approach to your work, building AI-powered solutions - automated dashboards, workflow automations, and decision-support tools - to drive efficiency and reduce manual toil. You will partner closely with Partner Strategy, Partner Sales, IT, and cross-functional teams (Legal, Finance, Marketing) to ensure our partner programs run smoothly and scale with the business.
- In addition, you will own select operational reporting, dashboard management, and data integrity activities, while connecting these workstreams to broader partner data quality and operational scale outcomes.
The impact you will have
- Identify manual bottlenecks, then design and build automation to streamline internal partner workflows
- Create standardized, automated playbooks for repeatable partner processes
- Own business and technical requirements for Salesforce and JIRA enhancements, partnering with IT to address gaps, improve system interoperability, and reduce manual overhead
- Define success metrics for process changes and assess upstream/downstream implications on adjacent teams before rolling out improvements
- Connect Legal, Finance, and Marketing tasks through automated project tracking systems
- Coordinate with IT to prioritize infrastructure updates that support automation goals
- Own data integrity initiatives through data cleansing, audits, and governance across partner datasets
- Build AI-powered solutions (e.g., approval workflows, scoring models, notification systems, automated dashboards) to improve efficiency an