Develop and refine the forecasting methodology for internal AI usage: Own the approach to forecasting Apples internal AI consumption - assessing current methods, identifying gaps, and building a more robust and scalable model that reflects key cost drivers and how usage evolves over time Strengthen financial controls: Develop and enhance controls around enterprise AI usage - including token consumption, cost attribution, and access governance - ensuring visibility and discipline as usage scales Partner with IS&T and other Finance teams on metrics: Work collaboratively to define and interpret the metrics that matter - adoption rates, token usage, cost by team or function, and efficiency trends Quantify efficiency and ROI: Partner with business unit leaders to develop frameworks for measuring the productivity gains that enterprise AI tools are driving, translating usage data into a meaningful picture of return on investment Consolidate enterprise AI costs: Design and operationalize the process for consolidating AI-related spend across finance teams company-wide Drive reporting: Develop and maintain reporting that gives senior leadership a clear view of enterprise AI costs, usage trends, and efficiency impact 5+ years of Finance or Business experience in a fast-paced environment; FP&A, corporate finance, or technology experience strongly preferred Bachelors degree in Finance, Economics, Computer Science, or another quantitative field. Extraordinary initiative and the ability to drive independently in an evolving space Flexibility and agility in managing multiple workstreams simultaneously Exceptional attention to detail without losing sight of the bigger picture Integrity, reliability, and responsiveness - this role will interact with senior finance leadership Disciplined work ethic combined with intellectual curiosity and a genuine interest in AI Demonstrated ability to build structure in ambiguous, undefined spaces - comfortable taking what exists, challenging it, and making it better Exceptional analytical and financial modeling skills; able to synthesize complex data into clear, actionable insights Strong business acumen and genuine interest in AI and its implications for enterprise operations and cost structures Proven ability to influence and build trusted relationships across cross-functional teams, including technical and non-finance partners Outstanding verbal and written communication skills; able to distill complexity for a wide range of audiences Advanced Excel and data visualization skills (experience with tools like Tableau, SQL, or Python is a plus) MBA or CPA a plus.