Tax Technology Lead

Join the Apple Corporate Tax Department and help us drive the modernization of our tax processes. In this role, you will serve as the bridge between tax operations and technology, utilizing innovative solutions, automation, and data analytics. You will partner closely with Tax, Finance, and Information Systems & Technology (IS&T) teams to deliver scalable, efficient, and compliant tax technology infrastructure.

Description

You will develop and execute a multi-year tax technology roadmap aligned with the department's strategic goals. By leveraging emerging technologies, you will streamline workflows, improve data integrity, and provide actionable insights to leadership.

Minimum Qualifications

8+ years of experience in tax, with at least 5 years focused on tax technology or tax operations.
Bachelor's degree in Accounting, Finance, Information Systems, Computer Science, or a related field.
Experience with corporate tax processes, including direct and indirect compliance, provision (ASC 740), and transfer pricing.
Proficiency in data analytics and visualization tools.
Experience with ERP systems, such as SAP or Oracle (SAP preferred).

Preferred Qualifications

10+ years of experience in tax, with at least 5 years focused on tax technology or tax operations.
CPA, Master's degree in Taxation, or relevant technology certifications (e.g., PMP, Alteryx Designer).
Experience in a large multinational corporate tax environment.
Experience with RPA tools (e.g., UiPath, Automation Anywhere).
Familiarity with SQL, Python, or other scripting/programming languages.
Experience in a large multinational corporate tax environment Knowledge of tax data standards such as XBRL or OECD Pillar Two reporting requirements.
Excellent communication skills with the ability to present technical concepts to non-technical audiences.
Project management capabilities with the ability to manage multiple priorities simultaneously Collaborative team player with strong stakeholder management skills.
Detail-oriented with a commitment to accuracy and data integrity.