Senior Manager, Manufacturing Engineering- Digital Factory Manufacturing Engineer

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-ID systems, 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:

Strategy & Roadmap:

• 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-ID, 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-ID technologies 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-ID solutions 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 failures, reduce waste, and improve throughput.

Team Leadership & Cross-Functional Collaboration:

• Lead, mentor, and develop a team of digital factory engineers and technology specialists, providing direction, performance management, and career development support.
• Collaborate closely with cross-functional teams including automation engineers, manufacturing engineers, process engineers, quality, maintenance, IT, OT, safety, and Integrated Product Team (IPT) leads to ensure seamless integration of digital factory solutions.
• Manage external vendors, system integrators, and technology partners supporting digital factory initiatives.
• Manage projects from concept to completion, including resource allocation, timeline management, and budget adherence.
• Ensure all digital factory solutions comply with applicable regulatory, cybersecurity, and quality standards.
• Ability to obtain a US secret security clearance. 
• Travel:10%.

Qualifications:

• Bachelor’s Degree with a minimum of 12 years of prior digital manufacturing, OT/IIoT systems, manufacturing technology experience. Graduate Degree with a minimum of 10 years of prior digital manufacturing, OT/IIoT systems, manufacturing technology experience. In lieu of a degree, minimum of 16 years of prior digital manufacturing, OT/IIoT systems, manufacturing technology experience.
• 5 years experience designing, deploying, and sustaining IIoT platforms and OT network architectures in a manufacturing environment.

Preferred Additional Skills:

• Bachelor's Degree in Electrical Engineering, Computer Engineering, Systems Engineering, Industrial Engineering, Manufacturing Engineering, Computer Science, Information Technology is preferred.
• Experience leading and managing a team of digital, OT, or manufacturing technology engineers.
• Experience with manufacturing execution systems (MES) and their integration with shop floor equipment and enterprise systems.
• Experience with OT/IT convergence, including integration of shop floor systems (SCADA, PLC, DCS, Historians) with enterprise systems (ERP, MES).
• Experience developing and implementing KPI frameworks and manufacturing performance dashboards.
• Experience with data acquisition, edge computing, and industrial networking protocols (e.g., OPC-UA, MQTT, Modbus, 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 cybersecurity frameworks for OT environments (NIST SP 800-82, IEC 62443, CMMC).
• Experience with data visualization and BI platforms (e.g., IGNITION, Power BI).
• Experience with cloud and hybrid cloud platforms for industrial data.
• Experience in project management.
• Experience working in a defense, aerospace, or highly regulated manufacturing environment.

In compliance with pay transparency requirements, the salary range for this role in California, Connecticut, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $139,500 - $259,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maine, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $121,500 - $225,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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