AIML Finance & Operations Analyst

Apple, Inc.; Cupertino (CA); On-site; USD 93,000 - 173,000; Full time

Benefits offered by this job

Medical and dental coverage

Stock plans and RSUs

Tuition reimbursement

Relocation assistance

Employee stock purchase plan

Job summary

Apple Inc. in Cupertino, CA seeks a Business & Financial Operations Analyst to drive requisition management, budgeting, and vendor oversight for AIML initiatives. You will forecast spend, partner with engineering, finance, and cross-functional leaders, and deliver decision-ready insights to leadership.

The role emphasizes disciplined resource stewardship, data-driven storytelling, and continuous improvement to scale AI partnerships within SWE. Strong collaboration and communication are essential.

Qualifications

• 5+ years of business operations, financial planning & analysis, or strategy experience in a tech environment.
• Strong analytical capabilities and project management acumen.
• Excellent written and verbal communication for executive audiences.

Responsibilities

• End-to-End Requisition Management: Lead PR-to-PO from inception to issuance with cross-functional partners.
• Financial Integrity & Lifecycle Tracking: Validate accruals, milestones, and invoicing accuracy with Finance.
• Budget Orchestration & Forecasting: Lead annual/quarterly planning and spend forecasting for AIML program.
• Strategic Storytelling & Reporting: Create executive dashboards and summaries to inform leadership.
• Process Optimization: Identify bottlenecks in procurement and invoicing, design scalable workflows.

Skills

Business operations

Financial planning

Strategy

Operations

Executive communication

Education

Bachelor's degree in analytical discipline

Tools

SQL

Excel

Tableau

Job description

Apple Inc. in Cupertino, CA seeks a Business & Financial Operations Analyst to drive requisition management, budgeting, and vendor oversight for AIML initiatives. You will forecast spend, partner with engineering, finance, and cross-functional leaders, and deliver decision-ready insights to leadership.

The role emphasizes disciplined resource stewardship, data-driven storytelling, and continuous improvement to scale AI partnerships within SWE. Strong collaboration and communication are essential.