Manufacturing Operations Manager Shift – Advanced Packaging

Intel is one of the world’s leading semiconductor companies, driving innovation that shapes the future of computing, connectivity, and artificial intelligence. With a legacy of over 50 years of technological breakthroughs, Intel’s Advanced Packaging Technology and Manufacturing division is at the forefront of next‑generation chip packaging solutions. Our Chandler, Arizona facility is a hub of cutting‑edge manufacturing excellence, where world‑class teams collaborate to deliver technology that powers billions of devices globally.

We are seeking a Manufacturing Operations Manager – Advanced Packaging in Chandler, Arizona for shift 6: from 6:00 PM – 6:18 AM | alternating 3‑Day (Wed–Fri) and 4‑Day (Wed–Sat) work weeks.

Intel’s Advanced Packaging Technology Development:
Substrate and Wafer Assembly (APTDSWA) organization is seeking a dynamic and experienced Manufacturing Operations Manager to lead a high‑performing team of technicians in a state‑of‑the‑art substrate packaging manufacturing environment. This is a critical leadership role responsible for driving safety, quality, production efficiency, and operational excellence across shift operations.

• Lead a team of technicians responsible for equipment maintenance, troubleshooting, and excursion response across shift operations
• Develop and implement resource plans for corrective and preventive maintenance activities to maximize equipment availability and stability
• Oversee tool qualification and capability building to support operational readiness
• Drive continuous improvement initiatives using structured problem‑solving methodologies including Lean Manufacturing, MBPS, and Six Sigma to enhance safety, quality, cost, and output metrics
• Maintain a strong, visible presence on the manufacturing floor to monitor operations, facilitate effective execution, and establish consistent standards across all shifts
• Establish, evaluate, and execute training plans to develop technician skills aligned with operational requirements
• Collaborate cross‑functionally with engineering teams to resolve equipment issues and optimize performance
• Manage shift schedules including workstation assignments, rotations, and staffing requests to align with production needs
• Champion Intel’s values, safety standards, and operational policies while fostering a high‑performing, inclusive team culture

• Exceptional leadership – inspire, motivate, and develop those around you
• Strong communicator – convey complex ideas clearly and confidently, both verbally and in writing
• Collaborative mindset – thrive in cross‑functional environments and build strong working relationships
• Adaptability – remain composed and effective in a fast‑paced, dynamic manufacturing environment
• Problem‑solving orientation – approach challenges with curiosity, structure, and a drive for resolution
• Accountability – take ownership of outcomes and hold yourself and your team to high standards
• Coaching and mentoring instinct – invest in the growth and development of your team members

• Bachelor’s degree in STEM field (Engineering preferred), with 3+ years of relevant experience; or a master’s degree in STEM with 2+ years of relevant experience.
• Understand and troubleshoot complex manufacturing equipment.
• Develop, manage, and execute training plans for technical teams.
• Structured problem‑solving methodologies such as Lean Manufacturing, MBPS, or Six Sigma.
• Lead and work within high‑performing teams.
• Maintain a strong, visible presence on the manufacturing floor and work compressed work‑week schedules as needed.

• 3+ years of experience in any of the following:
• Substrate, assembly, packaging, or silicon process development or manufacturing.
• Equipment qualification and maintenance processes.
• Factory operation systems, factory physics.
• Leading continuous improvement projects with measurable results.
• Previous experience managing teams in a manufacturing or technical environment.
• Drive the adoption of AI and advanced analytics to improve factory performance, optimize operational efficiency, enhance workforce effectiveness, and enable data‑driven decision‑making across…