NVIDIA
Partner incentives & revenue systems transformation
Overview
Partner incentives at scale
NVIDIA's MDF and rebate programs are a critical driver of partner-led revenue, generating hundreds of millions of dollars annually across a complex global ecosystem of distributors, OEMs, and resellers. But the systems powering these programs hadn't kept pace with scale—relying heavily on spreadsheets, manual workflows, and internal orchestration.
As the business grew, this created increasing friction: programs were difficult to scale, partners lacked visibility and self-service capabilities, and internal teams were spending significant time managing operations instead of optimizing performance. The result was inefficiency, limited agility, and ultimately, missed revenue opportunities.
My Role
Experience design lead across UX and process transformation
I served as Experience Design Lead across both UX and process transformation, responsible for redefining how NVIDIA's incentive programs operate—not just how they look. I owned the process transformation workstream, leading current-state assessment, future-state design, and the standardization of workflows to enable scale. In parallel, I led the design of the future-state platform experience built on Salesforce. This was less about interface design—and more about redesigning how a revenue engine operates.
Solution
Standardize the foundation to enable flexibility at scale
The core challenge was fragmentation. Each program was treated as a one-off—custom-built, manually managed, and difficult to scale. We consolidated 60+ fragmented workflows into 22 standardized, scalable processes; designed a "parent-child" program model to support reuse, variation, and experimentation; reimagined the end-to-end partner experience to enable self-service and transparency; and built the future-state system on Salesforce, aligning workflows across internal and external users.
We introduced AI across the lifecycle—accelerating current-state analysis and gap identification, enabling rapid prototyping of future-state workflows, and designing automated claim validation to reduce manual review. We weren't just improving a system—we were transforming how NVIDIA operates its partner ecosystem.
Outcomes
Operational and revenue impact
While still in implementation, the transformation is expected to deliver significant operational and revenue impact: standardized and scalable global program structure, faster time to launch and iterate on partner programs, improved transparency for both internal teams and external partners, and reduced operational burden across finance and marketing teams.
Claims processing transformation
AI-assisted validation reduces manual review to flagged cases only, with an estimated reduction to a fraction of total processing time—unlocking hundreds of hours of operational capacity while improving speed and accuracy.
Scalable program structure
Standardized global program structure enables faster time to launch and iterate on partner programs without proportional growth in support.
Transparency and self-service
Improved transparency for internal teams and external partners, with self-service capabilities reducing back-and-forth and operational burden.