Staff Analyst, Strategic Finance - AI Group at Advanced Micro Devices, Inc

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Aug, 26

Salary

0.0

Posted On

13 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Financial Modeling, Strategic Finance, Capacity Planning, Valuation Methodologies, Data Analysis, Excel, PowerPoint, ThinkCell, Scenario Modeling, FP&A, Pipeline Modeling, Executive Reporting, DCF, NPV, ROI, Cross-functional Collaboration

Industry

Semiconductor Manufacturing

Description

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: The Staff Analyst, Strategic Finance will report to the Director of Strategic Finance and serve as a key member of the AI Group (AIG) Finance team. This role partners closely with Business Development and AI leadership to support AMD’s rapidly scaling AI infrastructure strategy, with a strong focus on datacenter capacity planning, pipeline modeling, and financial analytics. This position sits at the intersection of data, finance, and strategy—owning core models and datasets that inform capacity acquisition, infrastructure investments, and commercial decision-making. The role will play a critical part in building scalable reporting and analytical frameworks to support executive decision-making, including regular updates to AIG leadership, the GM of the AI Group, and the CFO. THE PERSON: We are seeking a highly analytical and detail-oriented finance professional who thrives in data-intensive environments and can translate complex datasets into clear, actionable insights. You are comfortable operating in ambiguity, enjoy building from scratch, and bring strong financial modeling expertise alongside a pragmatic, execution-focused mindset. You will be expected to take ownership of core modeling and reporting infrastructure for AIG—driving clarity on datacenter capacity, pipeline progression, and financial exposure—while partnering cross-functionally to ensure alignment and accuracy. KEY RESPONSIBILITIES: Build, maintain, and enhance models supporting datacenter capacity planning, including supply/demand forecasting, capacity acquisition scenarios, and utilization tracking Develop and manage pipeline models to track AI infrastructure deals, capacity commitments, and associated financial implications Partner with Business Development to support deal evaluation and structuring, including scenario modeling and sensitivity analysis Track and monitor AMD-controlled and backstop datacenter capacity, including financial exposure, utilization, and risk Create and scale executive reporting for AIG leadership, including dashboards and readouts for the GM of AI Group and CFO staff Support financial modeling and valuation analyses (e.g., NPV, DCF, ROI) for infrastructure investments and strategic initiatives Build and maintain data pipelines and Excel-based tools to improve accuracy, speed, and transparency of analysis Partner cross-functionally with Finance, Treasury, Accounting, and Business teams to ensure alignment on assumptions, risks, and financial impacts Identify and drive improvements in data quality, reporting cadence, and modeling frameworks to support a rapidly evolving business PREFERRED EXPEREINCE: Proven experience in strategic finance, FP&A, investment banking, corporate development, or consulting Strong expertise in financial modeling and Excel (advanced formulas, scenario modeling, large datasets) Experience with valuation methodologies (e.g. NPV, DCF, IRR, etc.) Proven ability to work with large, complex datasets and translate them into actionable insights Experience supporting infrastructure, capacity planning, or capital-intensive businesses is a strong plus Background in semiconductors, technology, or investment banking highly preferred Strong communication and presentation skills, with the ability to synthesize complex analysis into clear, executive-ready materials (e.g., advanced PowerPoint, ThinkCell) ACADEMIC CREDITIALS: Bachelor’s degree in Finance, Economics, Accounting, or related field MBA or CFA is a plus LOCATION: San Jose, CA This role is not eligible for visa sponsorship. #LI-GW1 #LI-Hybrid Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Responsibilities

The role focuses on building and maintaining financial models for datacenter capacity planning and AI infrastructure pipeline tracking. It involves partnering with Business Development and AI leadership to provide actionable insights and executive reporting for strategic decision-making.