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Supply Chain Transformation Program Manager

Job in Franklin, Williamson County, Tennessee, 37068, USA
Listing for: Schneider Electric USA, Inc.
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst, Systems Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 139651 - 178000 USD Yearly USD 139651.00 178000.00 YEAR
Job Description & How to Apply Below

Supply Chain Transformation Program Manager

For this U.S. based position, the expected base salary is $139,651 - $178,000 per year. Additional short-term incentive compensation is a typical part of our compensation structure and would be in addition to the above-stated range. The compensation range for this full-time position applies to candidates located within the United States. Our salary ranges are determined by reviewing roles of similar responsibility and level.

Within the salary range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training. Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits) flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the first year of employment based on start date), opportunity to purchase company stock (eligibility depends on start date), and military leave benefits.

Schneider Electric USA, Inc. seeks a Supply Chain Transformation Program Manager in Franklin, TN.

Job Description:

Collaborate with global and regional digital teams to develop and execute the regional Logistics digital transformation strategy. Execute the complete project lifecycle following GSC project methodologies and tools including iProject. Conduct comprehensive resource planning and risk mitigation, while applying adoption of change principles. Assess the impact of changes, identify potential risks, and develop training programs to support the transition. Prepare project governance, communication and lead project gate reviews with sponsors and stakeholders.

Orchestrate and support programs and projects which may include: GCS Digital Programs including Last Mile and Lean Office;
Evolution of the Logistics Control Towers using the Aveva platform;
Implement DC Digital Twins exploring Augmented reality Extended XR and VR;
Introduction of AI into Control Towers; and Automate Logistics System Monitoring. Plan and support recruitment of future digital talents and upskill the current team’s digital acumen to create a network of Logistics CoMET Digital Experts. Establish and animate regional program Governance and Communications with internal stakeholders including the definition of business requirements. Remote eligible up to 3 days/wk.

Requirements:
Position requires a Master’s or Bachelor’s degree, or foreign equivalent, in Engineering, Supply Chain, Computer Science, Information Technology, Industrial Technology, or related field and progressive, post-bachelor’s experience (5 years with Master’s or 7 years with Bachelor’s) in digital supply chain program management or related occupation, which must include at least some experience in the following skills:
Supporting master data, configuration and ERP integration using: SAP S4/HANA, SAP ECC, and Oracle;
Drafting clear business case summaries that are validated with relevant departments (e.g., Finance) to justify spending, assess scenarios, and guide business decisions;
Using AI (Artificial Intelligence), Power BI, Cloud, ERP, IIOT (Industrial Internet of Things), and RPA (Robotic Process Automation) to improve processes;
Program Management including cost reduction, service optimization, and operation optimization;
Process Improvement methodologies including:
Six Sigma, Kaizen, or 5S; and Data Analytics using Power BI or Tableau to simplify complex data for critical business decisions.

EOE.

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