Finance Transformation Intern

JAS Worldwide•Atlanta, GA

About The Position

JAS is an international, non-asset-based supply chain services and solutions company. Our services include air and ocean freight forwarding, contract logistics, customs brokerage, distribution, inbound logistics, truckload brokerage and other supply chain management services, including consulting, the coordination of purchase orders and customized management services. This internship supports the Finance function’s broader transformation agenda, equipping future finance professionals with hands-on exposure to AI-enabled processes, governance, and decision-making. The Finance Transformation Intern will support the design, assessment, and enablement of AI use cases across Finance, with a strong emphasis on practical, value driven AI adoption. The intern will work alongside the Finance Transformation Team and cross-functional departments to: · AI Project: o Identify, research and structure finance AI use cases, o Support AI reporting, maturity tracking, and learning enablement, and · E-Invoicing Project: o Contribute to E-Invoicing RFQ activities where relevant to the program phase. This role is ideal for a candidate with strong analytical curiosity, interest in AI, and a desire to understand how Finance, Data, and Technology intersect in real enterprises.

Requirements

Currently studying or recently completed a degree in:
Finance, Accounting, Economics
Business Analytics, Data Science, Information Systems
Strong interest in AI, analytics, and digital transformation.
Comfortable working with structured information, frameworks, and templates.
Clear written communication skills.

Nice To Haves

Exposure to AI concepts (coursework, certifications, self-learning)
Familiarity with tools such as Excel, PowerPoint, Power BI, or similar
Interest in learning platforms (Articulate, LMS, digital content)
Curiosity about how technology impacts Finance processes and controls
Analytical and structured thinker
Curious, adaptable, and willing to learn
Comfortable asking questions and challenging assumptions
Able to translate complex ideas into clear summaries
Professional and detail-oriented

Responsibilities

AI Use Case Identification & Analysis (Primary Focus)
Support the intake, documentation, and structuring of Finance AI use cases using established frameworks.
Assist with applying AI technique selection based on:
Data type (structured vs unstructured)
Business objective
Control and compliance considerations
Help break down end-to-end finance processes (e.g. AP, AR, FP&A) into Composite AI building blocks.
Assist in evaluating use cases against:
AI maturity phase (Experiment, Stabilize, Expand)
Data readiness and feasibility
Value potential (time saved, cost avoided, insight enabled)
AI Portfolio Reporting & Insights
Assist in maintaining AI use case trackers and prioritization matrices.
Help translate technical AI concepts into clear, finance friendly summaries for leadership audiences.
Learning Enablement (Articulate / Digital Learning)
Support the development of learning and enablement materials for Finance teams.
Gain exposure to learning platforms such as Articulate (Rise/Storyline) and AI-supported content creation tools.
Help design intuitive, scenario-based learning examples rooted in real Finance use cases.
E-Invoicing RFQ & Finance Transformation Support (Secondary)
Depending on program timing and project status:
Support analysis of E-Invoicing vendor RFQ inputs.
Help structure comparison summaries and evaluation criteria.
Assist with documenting process flows, assumptions, and impacts.