Analyzes manufacturing operations, including lead times, queue times, work-in-process, cycle times, throughput, and capacity. Develops performance metrics, data visualizations, scheduling tools, and optimization models while aligning SAP/MRP systems with production plans. Supports shop-floor operations onsite, improves workflows, and collaborates with IT, ERP, analytics, and data science teams. Requires industrial engineering or manufacturing experience, time studies, capacity modeling, process controls, and shop-floor controls knowledge.
RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: NoneTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
Northrop Grumman Mission Systems (NGMS) is looking for you to join our team as an Industrial Engineer based out of Sunnyvale, CA.
The successful candidate will be collaborative, open, transparent, and team-oriented with a focus on team empowerment & shared responsibility, flexibility, continuous learning, and a culture of automation.
What You’ll get to Do:
- Utilizes Data Analytics to analyze existing operational processes and develop metrics and reporting to optimize and improve program & operational performance.
- Creates new metrics and data visualizations to monitor shop floor performance.
- Analyzes lead times, queue times, work-in-process, cycle times, and throughput to meet customer demand most effectively and efficiently.
- Builds scalable and sustainable models to optimize product flow, while incorporating cost, schedule, and resource constraints.
- Develop optimized scheduling tools and align SAP/MRP systems with an executable plan given various capacity constraints.
- Communicates requirements, planning, and systems framework with IT, ERP, business analytics, and data science teams.
- Must be available on-site to support manufacturing and its schedule of operations.
- Solid written and verbal communication skills.
- Solid interpersonal and critical thinking skills.
- Solid presentation skills with the ability to effectively communicate thoughts and ideas.
- Microsoft Office Excel, including macros, data mining, and pivot tables, or data visualization software applications.
- Commitment to ethics and compliance.
- Ability to collaborate in a team environment.
- Ability for infrequent travel (<10%).
Basic Qualifications:
- Bachelor’s of Science degree with 2 or more years of industrial engineering or manufacturing experience.
- Experience with time studies and work center capacity modeling.
- Experience with shop floor controls (SOPs).
- Experience with Process control methods (SPC/control charts).
- U.S. citizenship required.
Preferred Qualifications:
- Experience with improving manufacturing workflow using optimization, modeling, or simulation methods.
- At least 1 year of demonstrated manufacturing experience.
- Experience with Lean Manufacturing Methods.
- Experience with SAP S/4 HANA Cloud ERP system.
- Experience working with cross-functional teams in a manufacturing environment.
- 2 years of demonstrated experience leading project teams.
- Experience with SQL, Python, VBA, or other programming languages.
- Familiarity with workstation ergonomics.
- Experience with agile methods of project management or development.
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