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Senior Manager, Manufacturing Engineering- Digital Factory Manufacturing Engineer

Job in Phenix City, Russell County, Alabama, 36867, USA
Listing for: L3Harris Technologies, Inc.
Full Time position
Listed on 2026-11-07
Job specializations:
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 122000 - 226000 USD Yearly USD 122000.00 226000.00 YEAR
Job Description & How to Apply Below

L3

Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3

Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3

Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title:

Senior Manager, MAC Capacity Expansion & Digital Factory Integration

Job Code: 46616

Job Location:

Remote

Job Schedule:

Varies

Job Description

The Advanced Operations Technology (AOT) organization is seeking an experienced and visionary Senior Manager, Digital Factory, to lead the strategy, architecture, and implementation of digital manufacturing technologies across our solid rocket motor manufacturing enterprise. This role serves as the organizational owner and subject matter authority for the Industrial Internet of Things (IIoT), Operational Technology (OT) infrastructure and architecture, Auto-, manufacturing technology visualization, Key Performance Indicator (KPI) frameworks, Artificial Intelligence (AI) and Machine Learning (ML) tools, and data-driven optimization of manufacturing processes and automation equipment performance.

The Senior Manager, Digital Factory will work at the intersection of manufacturing operations, information technology, and advanced engineering to build a connected, intelligent, and highly efficient factory ecosystem. This leader will define and execute a multi-year digital factory roadmap that enables real-time visibility, predictive analytics, and continuous improvement across all manufacturing sites.

This role reports to the Director of Advanced Operations Technology and will collaborate closely with the AOT Chief Engineer, automation engineering teams, IT/OT leadership, program managers, and site operations leadership.

Essential Functions
  • Define, own, and execute the enterprise-wide Digital Factory strategy, aligning with organizational goals for manufacturing modernization, capacity expansion, and operational excellence.
  • Develop and maintain a multi-year technology roadmap covering IIoT, OT infrastructure, Auto-, AI/ML integration, visualization platforms, and digital twin capabilities.
  • Identify emerging digital manufacturing technologies and assess their applicability and ROI for integration into the manufacturing environment.
Execution
  • Partner with lead systems architect to define and govern OT network architecture standards, and systems integration (ERP, MES, SCADA, Historian) ensuring secure, scalable, and reliable connectivity between shop floor assets and enterprise systems.
  • Lead the strategy and implementation of Auto- including barcode, RFID, and other identification and tracking systems to enable end-to-end manufacturing traceability.
  • Collaborate with quality, manufacturing engineering, and supply chain teams to ensure Auto- meet traceability and compliance requirements.
  • Establish the strategy to implement manufacturing dashboards, visualization platforms, and digital work instruction systems that provide real-time operational visibility to all levels of the organization.
  • Partner with operations and program leadership to ensure KPI data is actionable and drives continuous improvement initiatives.
  • Lead the identification, evaluation, and implementation of AI and ML tools to optimize manufacturing processes, predict equipment…
Position Requirements
10+ Years work experience
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