Finance Manager - Datacenter

Qualcomm•San Diego, CA

About The Position

Exciting opportunity to join a dynamic, fast-paced finance team in Qualcomm’s Datacenter Business Unit. We are seeking a highly motivated Finance Manager to lead pricing and commercial analytics across the Datacenter product portfolio. The ideal candidate brings direct experience working in AI Datacenter industry, strong financial analysis experience, excellent executive-ready communication skills, and a track record of driving results in a matrixed environment. This role owns pricing strategy and governance, incentive/rebate management, and deal analytics, while building scalable reporting and partnering closely with Product Management, Business Development, Sales Operations, Revenue Accounting, and FP&A. This is a high-visibility role that regularly provides insights and recommendations to senior leadership, enabling profitable growth while ensuring strong controls and compliance.

Requirements

Bachelor's degree.
6+ years of Finance, Accounting, or related work experience.
Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience.

Nice To Haves

Master’s degree in Finance, Accounting, Economics, Data Analytics, or related field.
9+ years of Finance/Accounting or related work experience, with direct experience in pricing, incentives/rebates, or commercial finance (semiconductor, hardware, or IoT preferred).
2+ years in roles with executive-level interaction (VP and above) delivering succinct insights and recommendations.
2+ years in a large matrixed organization; ability to navigate and influence across functions.
2+ years in a leadership role (with or without direct reports), leading cross-functional initiatives or deal governance.
Proficiency in Excel and PowerPoint; experience with Tableau, Oracle/ERP, and Cognos TM1 (or similar EPM).
Familiarity with pricing tools (e.g., Salesforce CPQ, Model N, PROS, Vendavo) and understanding of ASC 606 implications for incentives and pricing.
Highly analytical, organized, and comfortable operating in a fast-paced environment with multiple concurrent priorities and strict deadlines.
Strong verbal and written communication, executive presence, and collaborative problem-solving skills.
2+ years AI Datacenter industry experience

Responsibilities

Pricing Strategy & Governance
Develop and maintain pricing frameworks, discount guardrails, and approval matrices to ensure consistent, compliant deal execution across markets, channels, and segments.
Lead or co-lead the deal desk process, standardizing approval workflows and documentation to comply with SOX and internal policies.
Own price list governance, SKU/portfolio pricing updates/approvals, and integration with financial systems
Deal Support & Commercial Analytics
Provide financial and business analysis to Product Management and Business Development in support of deal negotiations (e.g., AI-perf/TCO/Pricing sensitivity analyses, price-volume scenarios, ASP/margin impacts, rebate structures, accounting implications).
Build and maintain robust deal models that incorporate COGS, volumes, mix, rebates/incentives, and contractual terms.
Deliver executive-ready recommendations balancing growth, share, and margin objectives.
Incentive & Rebate Management
Manage tracking, system updates, and approvals to ensure all deals are captured by deadlines and are SOX-compliant with proper audit trails.
Partner with Revenue Accounting to align on ASC 606 considerations and ensure accurate accruals and recognitions.
Forecasting & Performance Management
Support BU forecasting (Revenues/ASP/Gross Margin) by customer, product line, and region; articulate drivers and risks/opportunities.
Deliver monthly/quarterly variance analyses, executive readouts, and insights on pricing’s contribution to revenue and margin performance.
Data, Systems & Reporting
Utilize TM1, Tableau, Oracle, and Excel to build, automate, and maintain dashboards and standardized reports for pricing KPIs (e.g., ASP trends, price realization, incentive economics, win/loss).
Ensure data quality and consistent definitions in pricing and incentive datasets across finance and business teams.
Stakeholder Collaboration & Leadership
Build strong partnerships with Product Management, Business Development, Sales Ops, Revenue Accounting, FP&A, Legal, and Program Management to drive aligned decisions.
Establish operating cadences (e.g., deal desk reviews, monthly pricing reviews) and mentor junior team members; lead cross-functional project teams (with or without direct reports).