ServiceNow Staff Systems Analyst
Qualcomm · San Diego, CA
About this role
Qualcomm is hiring a senior-level Business Analyst in the operations function based in San Diego, CA. The posting calls out experience with ServiceNow, ITIL, Performance Optimization. Compensation is listed at $115,200–$172,800 per year.
- Role
- Business Analyst
- Function
- operations
- Level
- senior
- Track
- Tech leadership
- Location
- San Diego, CA
- Posted
- Apr 20, 2026
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Job description
from Qualcomm careers##
Company:
Qualcomm Incorporated
## Job Area:
Information Technology Group, Information Technology Group > Systems Analysis
General Summary:
Qualcomm is advancing a multi‑year modernization of its ServiceNow platform, including a strategic transition to a clean, greenfield implementation. We are seeking a Staff ServiceNow Systems Analyst to join the ServiceNow Platform Team and play a critical role in defining, shaping, and delivering this transformation.
This is a Staff, consultative systems analyst role within the platform organization, not a hands‑on administrator or developer position. The role focuses on solution design, functional leadership, and stakeholder engagement, working directly alongside ServiceNow architects, developers, administrators, and offshore delivery partners as an integrated platform team.
The ideal candidate brings deep platform experience, strong design judgment, and the interpersonal skills required to influence decisions and drive alignment across business and IT stakeholders.
## Key Responsibilities
### Solution Design & Platform Contribution
* Lead requirements discovery, process analysis, and solution design efforts as a core member of the ServiceNow Platform Team.
* Define functional designs that align with platform guardrails, enterprise standards, and long‑term architectural direction.
* Partner closely with ServiceNow architects and developers on the platform team to ensure design intent is clearly understood and correctly implemented.
* Promote standard, out‑of‑the‑box ServiceNow capabilities and an AI‑first design approach to reduce technical debt and accelerate delivery.