Commercial Operations, Value-Added Partnership Analyst

Overview

About Global Foundries Global Foundries (GF) is a leading full‑service semiconductor foundry providing a unique mix of design, development, and fabrication services. Through our global manufacturing footprint, differentiated technologies, and commitment to partnership, GF enables customers to develop innovative semiconductor solutions for a wide range of applications.

The Role

The Commercial Operations – Value Added Partnership (VAP) Analyst plays a critical role in supporting GF’s VAP strategy by delivering data‑driven insights, optimizing partner performance, and enabling scalable commercial processes. This role operates cross‑functionally with Sales, Strategic Partnerships, Finance, Operations, and Product Line teams to evaluate partner value, track commercial outcomes, and streamline execution. The ideal candidate brings a blend of semiconductor industry knowledge, strong analytical capability, and the ability to translate complex data into actionable business recommendations.

• Build, maintain, and enhance performance dashboards for VAP partners, tracking revenue, cost, forecast accuracy, design‑ins, and funnel health.
• Conduct ROI and margin analyses on partnership programs to support strategic decision‑making.
• Provide data‑driven insights to optimize pricing approaches, rebate structures, and partner incentives.
• Partner with Sales, Finance, and Product Line teams to align partner metrics with GF commercial objectives.
• Manage data pipelines, reporting cadences, and operational workflows that support VAP execution.
• Support quarterly business reviews (QBRs) with standardized reporting packets and analytics.
• Identify opportunities to automate reporting, improve data accuracy, and streamline business processes.
• Collaborate with IT and Data Engineering to enhance CRM, ERP, and analytics tool usage, supporting partnership operations.
• Analyze semiconductor industry trends related to design services, EDA flows, IP partnerships, and enablement ecosystems.
• Benchmark GF’s partnership performance and identify areas for commercial differentiation.

• Bachelor’s degree in Business, Engineering, Data Analytics, Finance, or related field.
• 3–5+ years of experience in the semiconductor industry, ideally in commercial operations, business analytics, strategic partnerships, or product line management.
• Proven experience with data analytics tools (e.g., Excel, SQL, Tableau, Power BI; Python preferred but not required).
• Strong understanding of the semiconductor value chain, foundry business models, and ecosystem partnerships.
• Ability to synthesize complex data sets into clear insights and executive‑ready presentations.
• Excellent communication, stakeholder management, and problem‑solving skills.

• Experience supporting commercial or operational functions within a semiconductor fab, design house, or IP provider.
• Familiarity with CRM systems (e.g., Salesforce) and revenue‑planning tools.
• Understanding of semiconductor pricing models, product life cycles, and customer engagement processes.
• Ability to work effectively in a fast‑paced, cross‑functional environment.

$83,100.00 - $

The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at  and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case‑by‑case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with Global Foundries is conditioned upon the successful completion of pre‑employment conditions, as applicable, and subject to applicable laws and regulations.

Global Foundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. Global Foundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law