Industry 4.0 Manufacturing Engineering Specialist

Eatons Aerospace Group is seeking an Industry 4.0 Mechanical Engineer. This position can sit at any of the Eaton U.S. Aersospace facilities.Primary Function:This role is responsible for development and application of technology and tools designed to deliver the future state of process automation (Advanced Manufacturing 4.0 and digitization) in Operations across Eaton Aerospace. The ME-i4.0 (Manufacturing Engineer Industry 4.0) will be a key member of the Eaton Aerospace Industry 4.0 deployment team responsible to drive the implementation of the smart factories across Eaton Aerospace Group. The ME-i4.0 will be the technology leader supporting the definition of the technology roadmaps in areas such as automation, digital work instructions, Additive Manufacturing, Augmented Reality, Simulation, OEE, SPC among others. This role will identify, develop, and drive the deployment of technology-based solutions for enabling a digital transformation within our manufacturing operations. This includes equipment connectivity, plant application reporting, analytical skills, and dashboards that accurately represent manufacturing process status and performance.Essential Functions:+ Deployment of Eaton Aerospace Group strategy for Industry 4.0, and IIoT including technologies such as automation, digital work instructions, additive manufacturing, augmented reality, system integration+ Work with senior leaders and site leadership to develop strategies, goals, objectives, and resource planning for the transformation of Eaton Aerospace into a I4.0 manufacturing organization+ Establish the requirements for the Site Level deployment teams, support in the selection of deployments teams.+ Support the site level Deployment Teams with:+ Hands on approach, partnering with local teams in the deployment of i4.0 technology-based solutions+ Training site MEs on how deploy i4.0 technology-based solutions+ Identifying and/or developing technologies to create smart factories+ Work with site leaders in developing i4.0 business cases+ Lead proof-of-concepts and prototyping projects in i4.0+ Develop partnerships by driven collaboration and integration between multiple partners to deliver comprehensive solutions+ Train deployment sites on I4.0 concepts, tools, and benefits+ Drive rapid innovation by quickly vetting out & experimenting on ideas+ Keep senior leaders and site leadership current with developing technologies+ Ensure solution standardization+ Selection, development, and deployment of Smart Factory/Industry 4.0/IIoT technologies+ Be a change agent promoting and driving the change towards smart factories+ Define and track leading and lagging metrics (KPIs) for i4.0 technologies.+ Lagging metrics could include cost out, cost avoidance, productivity improvements, lead time reduction, quality improvements, safety improvements among others+ Leading metrics could include; pipeline projects in i4.0, number of automation operations, 3D printers etcPreferred:+ Comprehensive knowledge of Industry 4.0/Smart factories. This includes IoT, Data Acquisition, Machine Learning, and Big Data Analytics, additive manufacturing, digitalization, augmented reality to name few+ Effective leadership of cross functional & multi-location teams+ Demonstrated Project Management skillsets+ Highly effective communication skills both verbal and written with ability to make necessary status reports+ Strong organizational and planning skillsAdditional Information:+ Travel may be required up to 50% of the time+ Opportunity to gain exposure to and work with many cross functional teams+ Exposure to senior leaders within the Aerospace business QualificationsBasic qualifications:+ Bachelors Degree or equivalent from an accredited institution in a technical field (e.g. engineering, industrial automation, data science)+ Minimum 5 years of experience in an industrial manufacturing engineering, operations, operational excellence, continuous improvement, and/or technical role+ Minimum 1 year of experience in industrial automation, internet of things, data acquisition, machine learning, big data analytics, additive manufacturing, digitalization, and/or augmented reality+ Minimum 3 years of experience using lean six sigma and/or similar continuous improvement/problem solving methodologies in a manufacturing environment+ Must be able to work on an on-going basis without requiring company sponsorship+ This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). All applicants must be U.S. persons within the meaning of ITAR. ITAR defines a U.S. person as a U.S. citizen, U.S. Permanent Resident (i.e. Green Card Holder'), Political Asylee, or Refugee.+ This position does not offer relocation, but this position is open to any Eaton U.S. Aerospace Facility. The candidate must reside within 50 miles of a Eaton U.S. Aerospace facility.We make what matters work. Everywhere you lookfrom the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every dayyoull find one thing in common. It all relies on power. Thats why Eaton is dedicated to improving peoples lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. Were ethical, passionate, accountable, efficient, transparent and were committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters.Job: Manufacturing & OperationsRegion: North America US/Puerto RicoOrganization: AER Aerospace GroupJob Level: Individual ContributorSchedule: Full-timeIs remote work (i.e. working from home or another Eaton facility) allowed for this position?: YesDoes this position offer relocation?: NoTravel: Yes, 50 % of the TimeEaton is an Equal Opportunity and Affirmative Action Employer. Eaton is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.