Operational Excellence Process Engineer

Operational Excellence Process Engineer

Work Your Magic with us! Start your next chapter and join EMD Electronics.

Ready to explore, break barriers, and discover more? We know you've got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet.

That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Everything we do in EMD Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency.

Together, we push the boundaries of science to make more possible for our customers.

This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.

Your Role:

The Operational Excellence (OE) Process Engineer is an onsite position in Carlsbad, CA. Approximately 10% of domestic and international travel is necessary to support business needs.

This role provides you with the opportunity to apply analytical thinking, data-driven storytelling, and stakeholder influence to unlock the highest-value productivity opportunities for our Carlsbad Synthesis/Purification Operations (Thin Films and Specialty Gas). You will drive measurable productivity improvements by integrating Lean Six Sigma with Digital Solutions to deliver safe, reliable, and customer-focused outcomes. Collaborating with the OE Global Network, Digital Transformation, Operations, Maintenance, Process Development, and Global Engineering, you will deliver quick wins and identify longer-term OE and digital opportunities tracked in our internal systems.

You'll lead data access and analytics enablement to accelerate productivity across SVM/HVM processes, container builds, and New Product Launch optimization.

Key Responsibilities:

• OE Leadership and Productivity:
  Lead productivity initiatives across SYN/PUR product lines; develop and maintain Value Stream Maps (VSMs) & Daily Management Systems (DMS); drive process variation reduction (RCCAs, FMEA, DOE).
• Digital Transformation and Data-Enabled Performance:
  Leverage dashboards, apps, and data platforms to access and interpret critical process data; apply SPC and analytics to improve OEE, throughput, and quality. Collaborate with Digital Solutions and Data & Digital IT (DDIT) to accelerate data access, data quality, and analytics readiness for manufacturing decisions.
• Change Management and Capability Building:
  Own Management of Change (MOC) for OE implementations; design and deliver training on VSM, DMS, RCA, 5S, DOE, and digital tools; mentor site teams in problem-solving and data storytelling.
• Governance, Metrics, and Reporting:
  Define and track KPIs (e.g., WAVE-related productivity, cycle time, scrap, yield, on-time delivery); provide regular leadership reporting; escalate risks and opportunities with clear remediation plans.
• Technology Transfer, Start-up & Scaling:
  Support technology transfer from pilot to commercial scale; contribute to commissioning/start-up activities for OE-driven projects; capture learnings for future scale-up across product lines.

Who You Are:

Minimum Qualifications:

• BS in Chemical Engineering, Process Technology, Chemistry or any Engineering degree
• 5+ years in manufacturing/Process Engineering along with Lean Six Sigma experience with demonstrated problem-solving across chemical/physical processing environments
• Green Belt certified with hands-on experience applying DFSS, DMAIC, RCCA, and FMEA

Preferred Qualifications:

• MS or PhD in Chemical Engineering or similar field
• Black Belt or Master Black Belt certification
• Data analytics experience (e.g., SPC/SQC, multivariate analysis) and…