Director, Ventures Partner Portfolio

SLSQ327R620

Location: San Francisco/West Coast

The Consulting & Systems Integrator (C&SI) organization accelerates Databricks' growth by building and managing strategic relationships with the world's leading data, AI, and technology services companies.

As the Ventures Partner Portfolio Lead, you will drive value, scale, and strategic go-to-market motions across Databricks' portfolio of newly invested partner organizations. You will oversee a model designed to deeply support and scale our highest-performing investment partners post-investment. You will define and execute a cohesive portfolio strategy for fifteen partners.

In this role, you will focus on ensuring partners fulfill their obligations, accelerating joint product certifications, driving partner-sourced pipeline, and establishing repeatable joint business plans. You will work cross-functionally with Sales, Product, Engineering, and Marketing to surface scaling signals from the field, eliminate operational blockers, and maximize the long-term enterprise value of Databricks’ venture investments.

This role reports to the Vice President of System Integrator Partners.

The impact you will have:

• Own Joint Business Plan Execution: Oversee the rigorous execution of joint business plans, measuring quarterly progress against named target accounts, consumption milestones, and marketing KPIs.
• Accelerate Revenue & Pipeline: Drive partner-led growth by actively accelerating the partner-sourced pipeline and unlocking new market opportunities.
• Drive Enablement & Certification: Establish and enforce product-specific certification targets to deepen the partner's technical capabilities and practice size.
• Enforce Governance & Obligations: Ensure that newly invested portfolio partners are fully executing and fulfilling their contractual and strategic investment obligations.
• Unblock Field Execution: Act as the primary escalation point to resolve partner blockers by collaborating directly with cross-functional leadership across Product, Engineering, and Sales.
• Surface Predictive Scaling Signals: Capture and synthesize feedback from the field (e.g., new product traction, geographic expansions, executive talent moves) to feed back into quarterly portfolio scoring refreshes, ensuring the program remains predictive and agile.
• Identify Next Generation of Partners: Proactively evaluate the ecosystem and identify the next generation of partners primed for strategic investment and hyper-scale growth.

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