Your Impact
As a Controllership AI & Automation Intern, you will support targeted AI, analytics, and automation initiatives that improve the speed, quality, and scalability of Controllership processes. You'll be embedded on a scoped workstream for approximately 3 months - partnering with Accounting, IT/Engineering, and other Finance stakeholders to deliver real, measurable results.
This is a hands-on builder role. You'll join meetings with process owners, help map current-state workflows and pain points, contribute to defining requirements, and use AI and automation tools to develop solutions. Depending on the initiative, you may work alongside IT/data teams, enable process owners to build solutions themselves, or get directly hands-on building them with us.
What You'll Do
Reports to: Director, NPI and AI Lead, Chief of Staff
- Support the identification and scoping of AI/automation opportunities within a defined Controllership process area (e.g., Accounting Operations, Revenue Accounting, Financial Reporting, Tax, or Internal Audit)
- Participate in stakeholder meetings to understand current-state workflows, pain points, and requirements - and help translate them into solution options
- Help build documentation that supports SOX/audit readiness: process flows, control mapping, test evidence, and usage guidelines
- Assist with testing, UAT coordination, and rollout support for solutions developed during the engagement
- Present findings, progress, and recommendations to Controllership leadership at the close of your engagement
What Success Looks Like
- You deliver a scoped, working solution (or meaningfully advance one) within your ~3-month engagement - something the team can build on or put into production
- You reduce manual effort or cycle time in at least one targeted workflow, with clear before/after documentation
- Your work is auditable and control-safe
- Process owners and teammates feel equipped to sustain or extend what you built
What You Bring
- Currently pursuing a degree in Finance, Accounting, Computer Science, Data Science, Information Systems, or a related field
- Familiarity with financial accounting concepts (e.g., reconciliations, journal entries, close process, Order-to-Cash or Record-to-Report) and/or hands-on experience with data or AI tools - ideally both
- Comfortable working with structured data; experience with SQL, Python, or Excel is a plus
- Exposure to or genuine curiosity about AI tooling (e.g., Claude, ChatGPT, Copilot, Cursor) and how it can be applied to finance workflows
- Strong communicator who can translate between Finance stakeholders and technical teams
- Able to gather context quickly, work independently within a defined scope, and deliver within a fixed timeline
Bonus Points
- Hands-on experience with LLMs, prompt engineering, or AI workflow tools
- Exposure to ERP or financial close systems (NetSuite, SAP, D365, Oracle, or similar)
- Experience with business intelligence or automation tools (e.g., Power Query, Alteryx, Power Automate)
- Prior internship experience in finance, accounting, or a data/engineering role
Program Details
- Duration: ~3 months
- Engagement type: Project-based, scoped to a specific Controllership AI initiative
- Team: Controllership / Finance, reporting to the Director, Chief of Staff (Controllership)