Lead IT Analyst

HoneywellCharlotte, NC
Hybrid

About The Position

As a Lead IT Analyst within Honeywell’s Digital Supply Chain (DSC) / Integrated Supply Chain Systems (ICS) organization, you will operate as a senior individual contributor with deep functional expertise in SAP S/4HANA Production Planning and Quality Management, including MRP Live and ePPDS modules. This role is accountable for independently leading the analysis, design, and delivery of complex Production Planning, Execution and Quality Management solutions that support Honeywell’s global ISC operating model. You will work with a high degree of autonomy, exercising judgment in ambiguous problem spaces, and influencing outcomes through technical depth, domain expertise, and collaboration rather than positional authority. Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

Requirements

  • Deep functional expertise in SAP S/4HANA Production Planning and Quality Management, including MRP Live and ePPDS modules.

Responsibilities

  • Independently lead the analysis, design, and delivery of complex Production Planning, Execution and Quality Management solutions that support Honeywell’s global ISC operating model.
  • Operate as a senior individual contributor with deep functional expertise in SAP S/4HANA Production Planning and Quality Management, including MRP Live and ePPDS modules.
  • Work with a high degree of autonomy, exercising judgment in ambiguous problem spaces.
  • Influence outcomes through technical depth, domain expertise, and collaboration rather than positional authority.
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