Schneider Electric

AI Transformation Specialist

Schneider Electric$90K — $120K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in engineering, Computer Science, Data Science, Supply Chain, or a related field.
  • 3+ years experience in Supply Chain, Manufacturing, Data Analytics, or Digital Transformation.
  • Business experience with AI/ML, data analytics, or automation.
  • Strong understanding of supply chain processes including planning, manufacturing, logistics, and procurement.
  • Experience in SAP environments (S/4HANA preferred) is a plus.
  • Familiarity with Python, SQL, Power BI/Tableau, or AI copilots is advantageous.
  • Self-driven with a curiosity to understand operational nuances.

Responsibilities

  • Partner with stakeholders to identify AI opportunities.
  • Translate business challenges into actionable AI use cases.
  • Lead evaluation and prioritization of AI initiatives aligned with company goals.
  • Design scalable AI solutions using existing platforms.
  • Support the end-to-end delivery of AI solutions, from development to testing.
  • Define and track success metrics for AI implementations.
  • Monitor realized business value from AI deployments.

Benefits

  • Engagement in innovative AI strategies within the supply chain.
  • Opportunities for continuous learning and development in AI.
  • Cross-functional collaboration across various business units.
  • Hands-on involvement with practical problem-solving and operator training.
  • Exposure to advanced technologies and AI tools.
Full Job Description
The AI Transformation Specialist - GSC (Titan Program) is 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.

Aligned with Titan's strategy to leverage Digital and AI to accelerate supply chain
performance and enable capabilities such as intelligent planning and automation, this
role acts as a bridge between business teams and digital/AI capabilities.

Key Responsibilities
  • 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)

Working conditions:
  • 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


Qualifications
  • 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/4HANA) 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.

We know skills and competencies show up in many ways and can be based on your life experience. If you do not necessarily meet all the requirements that are listed, we still encourage you to apply for the position.

Who will you report to? Product Manager Global Supply Chain

You must submit an online application to be considered for any position with us. This position will be posted until filled. Let us learn about you! Apply today.

About Schneider Electric

Schneider Electric is a multinational corporation that specializes in energy management and automation solutions. The company was founded in 1836 and is headquartered in Rueil-Malmaison, France. Schneider Electric offers a wide range of products and services including electrical distribution, automation and control, and energy management. The company operates in over 100 countries and has a strong presence in the industrial and commercial sectors. Schneider Electric is committed to sustainability and has set ambitious targets to reduce its environmental impact. The company has received numerous awards for its sustainability efforts and is recognized as a leader in the industry.
Learn more about Schneider Electric
Size
166,025 employees
Industry
Founded
1836
NASDAQ

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