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Intel’s DCAI group delivers workload-optimized solutions based upon our x86 architecture for data centers, including CPUs, AI accelerators, NICs, IPUs, and custom ASICs, enabling performance and scalability for cloud, enterprise, telecommunication, and HPC environments. Our DCAI offerings are designed to support key workloads such as AI, analytics, networking, and edge computing through a combination of hardware and software offerings.
The DCAI Engineering Finance Analyst is responsible for driving financial discipline, resource efficiency, and execution accountability across DCAI engineering programs. This role partners closely with product planning and engineering stakeholders to analyze historical and forward‑looking resource data, translate insights into action plans, and strengthen product execution governance to ensure delivery against silicon development program commitments. The role also applies AI‑enabled analytics to improve insight velocity and decision quality.
Key Responsibilities
Historical Program & Resource Efficiency Analysis
· Lead historical program comparisons of headcount and non-burden spending to assess generation‑over‑generation resource efficiency.
· Identify structural cost and productivity trends and translate insights into actionable recommendations to improve resource efficiency.
· Support leadership reviews with clear narratives on drivers of efficiency gains or degradation.
Forecast Reporting & Planning Cycle Accountability
· Lead forecast reporting, including forecast‑over‑forecast comparisons.
· Translating forecast deltas into concrete action plans that address scope changes, resourcing shifts, and affordability risks.
· Ensure transparency and consistency of Forecast changes across planning cycles.
Close Reporting & Execution Management
· Own program-level close reporting, comparing actuals vs. forecast
· Drive action plans to address execution gaps, including root‑cause analysis, corrective actions, and follow‑up tracking.
· Partner with engineering leaders to ensure timely resolution of variances and sustained execution discipline.
Application of AI & Advanced Analytics
· Apply AI and advanced analytics to automate analysis, accelerate insight generation, and improve reporting velocity.
· Identify opportunities to standardize, scale, and enhance financial analysis through data and AI‑driven approaches.
Ad‑Hoc Finance Support
· Provide ad‑hoc financial analysis and decision support to DCAI engineering teams on an as needed basis.
You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. This position is not eligible for Intel immigration sponsorship.
Minimum Qualifications
Bachelor’s degree in Finance, Accounting, Economics, or a related field
6+ months of relevant experience with the following:
AI Tool Fluency – practical experience with AI-based tools and the ability to leverage AI for process automation to optimize forecasting and actuals comparisons across large data sets
Data Visualization - Proficiency in Tableau or Power BI.
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.Similar jobs
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