Lead Process Analyst / Journey Management Engineer

Role: AI Technical Product Manager VESSE AI Tools (W2 Position) Location: Dearborn, MI (Hybrid) Duration: 12+ Months (In-Person Interview) Experience: 7+ Years Client: Ford Motors JD: Manager notes: Manager is currently looking to onboard a Technical Product Manager to lead the VESSE Ecosystem of AI Tools initiative. This role is focused on driving the strategy, adoption, and impact of AI solutions across vehicle electrical, software, and systems engineering workflows. Key highlights of the ro

Stefanini Group is hiring! Stefanini is looking for a Senior EDI Analyst, Dearborn, MI (Onsite) For quick apply, please reach out Fardeen Ali at / As a Senior EDI Analyst, you will play a pivotal role in maintaining and evolving the global data exchange services that we provide. This role is designed for a technical expert with specialization in Axway's B2Bi integration suite. Responsibilities Engage with customers to understand use cases, pain points, and requirements, demonstrating a user-cent

NOT A C2C OPPORTUNITY Architect Specialist #1055800 Job Description: Role Summary: We are seeking a highly experienced, contract PLM Solutions Architect to lead the architectural strategy and technical execution of migrating our legacy FEDE BOM (Engineering Design Environment - Bill of Materials) systems to the modern Dassault Systmes 3DEXPERIENCE (3DX) platform.This role is highly strategic and requires a deep understanding of Ford s internal engineering and IT systems.The ideal candidate will

Stefanini Group is hiring! Stefanini is looking for a PLM Data Migration Engineer (Dearborn, MI) For quick apply, please reach out to Adil Khan at / This position is centered on designing and developing an AI-driven PLM data migration framework that enables seamless transformation and loading of Teamcenter data into the 3DEXPERIENCE platform, while ensuring high data integrity and automation in resolving discrepancies. Key ResponsibilitiesDevelop Java-based migration utilities to extract data fr