DCG Engineering Finance Analyst

Intel•Chandler, AZ

1d•Hybrid

About The Position

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.

Requirements

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.

Responsibilities

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.
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.
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.
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.
Provide ad‑hoc financial analysis and decision support to DCAI engineering teams on an as needed basis.