Role Description

We are seeking a highly motivated and analytical Finance Transformation Intern to join our team for the Summer 2026 internship program. This role offers hands-on experience working at the intersection of finance, data, systems, and process improvement, with additional exposure to cross-functional and company-wide transformation initiatives, including AI-enabled use cases.

As a Finance Transformation Intern, you will contribute to high-impact projects focused on improving financial processes, automation, analytics, and tooling across the Finance organization, while also supporting the development of a company-wide AI use case library in partnership with teams beyond Finance (e.g., Operations, Legal, Sales etc).

Through this experience, you will:

• Gain practical exposure to finance and enterprise transformation initiatives within a fast-paced, technology-driven company.

• Partner with Finance, Accounting, and cross-functional teams to support process optimization, automation, analytics, and responsible AI adoption.

• Learn how organizations redesign workflows, implement new tools, and scale AI-enabled solutions across functions.

• Develop foundational skills in process mapping, analytics, systems thinking, documentation, and change management.

• Build strong relationships through mentorship, collaboration, and career guidance from experienced finance, cross-functional, and transformation leaders.

• Establish a solid foundation for careers in finance transformation, business operations, analytics, finance systems, or AI-enabled operations.

Responsibilities

• Support finance and cross-functional transformation projects by documenting and analyzing existing finance and business processes.

• Assist in identifying opportunities to improve efficiency through automation, analytics, and responsible use of AI-enabled tools across Finance and other business functions.

• Contribute to small-scale AI and automation initiatives, including testing tools, validating outputs, and documenting use cases and workflows.

• Contribute to the build and maintenance of a company-wide AI use case library.

• Support analysis, documentation, and presentation materials for ongoing finance and enterprise transformation initiatives.

• Participate in team meetings and cross-functional working sessions to gain exposure to how teams adopt new tools and ways of working.

Requirements

• Currently pursuing a Bachelor’s degree in Finance, Accounting, Business, Economics, Information Systems, Data Analytics, General Science or a related field, with an expected graduation date in 2027 or later.

• Curious, proactive, and eager to learn, with a willingness to take initiative in ambiguous and evolving environments.

• Strong analytical and problem-solving skills, with the ability to break down processes and identify improvement opportunities.

• Clear and concise written and verbal communication skills, with strong attention to detail.

• Ability to manage multiple priorities and deliver high-quality work in a fast-paced setting.

• Proficiency in spreadsheet, presentation, and productivity tools commonly used in business environments, as well as familiarity with AI-enabled productivity and analysis tools (such as AI assistants e.g. ChatGPT, Gemini etc). Experience with data analytics or automation tools is a plus.

• Authorized to work in the United States without sponsorship.

Preferred Qualifications

• Demonstrated curiosity and interest in how business teams use technology, data, automation, or AI to improve how work gets done.

• Exposure to analytics, automation, or low-code tools (e.g. Alteryx, Tableau, PowerBI) through coursework, internships, or personal projects.

• Strong communication and interpersonal skills, with the ability to explain ideas clearly in writing and in group settings.

• Self-starter mindset with the ability to operate effectively in a fast-paced, evolving environment.

• Strong organizational skills, including the ability to track multiple tasks and follow through on deliverables.

Compensation

US Pay Range**$3,000**—$3,000 USD