Senior Manager, Manufacturing Engineering- Digital Factory Manufacturing Engineer

L3Harris•Huntsville, AL

5d•Remote

About The Position

The Advanced Operations Technology (AOT) organization is seeking an experienced Senior Manager, Digital Factory, to lead the strategy, architecture, and implementation of digital manufacturing technologies across its solid rocket motor manufacturing enterprise. The role is the organizational owner and subject matter authority for IIoT, OT infrastructure and architecture, Auto-ID systems, manufacturing visualization, KPI frameworks, AI/ML tools, and data-driven optimization of manufacturing processes and automation equipment performance. Working across manufacturing operations, information technology, and advanced engineering, the Senior Manager will develop and execute a multi-year digital factory roadmap to enable real-time visibility, predictive analytics, and continuous improvement across manufacturing sites. The role reports to the Director of Advanced Operations Technology and collaborates with the AOT Chief Engineer, automation engineering teams, IT/OT leadership, program managers, and site operations leadership. Travel is 10%. The role requires the ability to obtain a US secret security clearance.

Requirements

Bachelor’s degree and at least 12 years of digital manufacturing, OT/IIoT systems, or manufacturing technology experience; or a graduate degree and at least 10 years of such experience; or, in lieu of a degree, at least 16 years of such experience.
At least 5 years of experience designing, deploying, and sustaining IIoT platforms and OT network architectures in a manufacturing environment.
Ability to obtain a US secret security clearance.

Nice To Haves

Bachelor’s degree in Electrical Engineering, Computer Engineering, Systems Engineering, Industrial Engineering, Manufacturing Engineering, Computer Science, or Information Technology.
Experience leading and managing a team of digital, OT, or manufacturing technology engineers.
Experience with MES and integration with shop floor equipment and enterprise systems.
Experience with OT/IT convergence, including integration of SCADA, PLC, DCS, and Historian systems with ERP and MES.
Experience developing and implementing KPI frameworks and manufacturing performance dashboards.
Experience with data acquisition, edge computing, and industrial networking protocols such as OPC-UA, MQTT, Modbus, and EtherNet/IP.
Experience developing statements of work, functional requirements specifications, and technology roadmap documents.
Experience with Auto-ID technologies, including RFID, barcode systems, and manufacturing traceability platforms.
Familiarity with OT cybersecurity frameworks such as NIST SP 800-82, IEC 62443, and CMMC.
Experience with data visualization and business intelligence platforms such as IGNITION and Power BI.
Experience with cloud and hybrid cloud platforms for industrial data.
Experience in project management.
Experience working in defense, aerospace, or highly regulated manufacturing environments.

Responsibilities

Define, own, and execute the enterprise-wide Digital Factory strategy, aligning it with manufacturing modernization, capacity expansion, and operational excellence goals.
Develop and maintain a multi-year technology roadmap covering IIoT, OT infrastructure, Auto-ID, AI/ML integration, visualization platforms, and digital twin capabilities.
Identify emerging digital manufacturing technologies and assess their applicability and return on investment for the manufacturing environment.
Partner with the lead systems architect to define and govern OT network architecture standards and integration of ERP, MES, SCADA, and Historian systems.
Lead the strategy and implementation of Auto-ID technologies, including barcode and RFID systems, to support end-to-end manufacturing traceability.
Collaborate with quality, manufacturing engineering, and supply chain teams to ensure Auto-ID solutions meet traceability and compliance requirements.
Establish strategies for manufacturing dashboards, visualization platforms, and digital work instruction systems that provide real-time operational visibility.
Partner with operations and program leadership to ensure KPI data is actionable and supports continuous improvement.
Lead the identification, evaluation, and implementation of AI and ML tools to optimize processes, predict equipment failures, reduce waste, and improve throughput.
Lead, mentor, and develop digital factory engineers and technology specialists, including providing direction, performance management, and career development support.
Collaborate with automation, manufacturing, and process engineers; quality, maintenance, IT, OT, and safety teams; and Integrated Product Team leads to integrate digital factory solutions.
Manage external vendors, system integrators, and technology partners supporting digital factory initiatives.
Manage projects from concept to completion, including resource allocation, timelines, and budgets.
Ensure digital factory solutions comply with applicable regulatory, cybersecurity, and quality standards.