AI Transformation Specialist

AI Transformation Specialist – GSC (Titan Program)

Responsible for identifying, designing, and implementing AI‑driven solutions that solve complex supply chain and manufacturing business challenges. This role plays a critical part in advancing the Titan vision by embedding AI into core processes, driving operational efficiency, and enabling data‑driven decision‑making across North America operations.

• Partner with GSC stakeholders (Planning, Manufacturing, Logistics, Procurement) to identify high‑value AI opportunities.
• Translate business challenges into AI‑enabled use cases with clear value hypotheses (cost, service, productivity).
• Lead intake, evaluation, and prioritization of AI use cases aligned to Titan goals.
• Design scalable AI/ML solutions leveraging existing platforms (SAP, analytics tools, AI copilots, automation tools).
• Support end‑to‑end delivery of AI solutions including development, testing, deployment, and lifecycle management.
• Define success metrics (e.g., forecast accuracy, cycle time reduction, productivity gains).
• Monitor and track realized business value from deployed AI solutions.
• Continuously optimize models and output based on business feedback.
• Drive an “AI‑first” mindset across GSC teams through coaching, training sessions, and use‑case demonstrations.
• Act as a translator between technical teams and business users to ensure alignment and successful outcomes.
• Support AI adoption initiatives (e.g., workshops, promptathons, training programs) to improve user engagement and effectiveness.
• Ensure responsible AI usage aligned with Schneider governance (data protection, validation, compliance).

• Tight deadlines and multiple priorities, requiring decisive decision making in a fast‑paced environment.
• Willing to work outside the standard 8‑5 schedule, across time zones, including early mornings, evenings, and weekends as required by tight project deadlines.
• Ability to work independently in a competitive work environment.
• Managing and collaborating remotely.

• Bachelor’s or Master’s degree in engineering, Computer Science, Data Science, Supply Chain, or related field is required.
• 3+ years of experience in Supply Chain, Manufacturing, Data Analytics, or Digital Transformation.
• Experience with AI/ML, data analytics, or automation in a business environment.
• Strong understanding of supply chain processes (planning, manufacturing, logistics, procurement).
• Experience working in SAP (preferably S/4
  
  HANA) environments is highly preferred.
• Familiarity with tools such as Python, SQL, Power BI/Tableau, or AI copilots is a plus.
• Self‑driven and curious to understand how everything works.
• Ability to connect, communicate, collaborate, and influence peers.
• Confidence to prioritize and complete tasks in a rapidly evolving environment.
• Enthused to be hands‑on with operators to solve problems and train.

Product Manager Global Supply Chain

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