Chemical Container Engineering Manager

Work Location: Sheboygan Falls, Wisconsin
Shift: No
Department: EL-TF-ME Container Management Thin Film
Recruiter: Laura Dockery

This information is for internals only. Please do not share outside of the organization.

Location: The Chemical Container Engineering Manager position will be located in Carlsbad, CA or Sheboygan Falls, WI area and is an onsite role. Less than 10% domestic and international travel is required to support business needs.

Your Role

The Thin Films business unit of EMD Electronics has the ambition to adopt notable automation and digitization in container processing in all its manufacturing sites. You and your global team will play a pivotal role in advancing and supporting automation, digitization, and quality across all TF sites.

• Collaborate with design engineers to design, develop and deliver automated container handling tools for all Thin Films sites as well as collaborate with third-party vendors to enhance tool development speed and efficiency. Incorporate design capabilities to collect and analyze container data during processing to identify trends and improve operational efficiency. Ensure data consistency and alignment across sites with existing and newly deployed container processing tools. Provide training and support to site teams for effective tool utilization.
• Collaborate with production sites and cross functional teams to assess site CapEx needs for new container cleaning and processing tools while aligning with growth objectives and market demands. Analyze current and future production requirements to recommend appropriate investments in technology and equipment. Support sites in developing comprehensive CapEx proposals that justify investments and align with organizational goals.
• Design and develop tools for handling containers, ensuring compatibility with different container types and associated components. Utilize knowledge of valves, liquid level sensors, VCR fittings, etc. in the design process to enhance tool functionality and safety. Collaborate with cross-functional teams to gather requirements and ensure tools meet operational needs. Join with site teams to identify opportunities for tool integration and standardization. Conduct testing and validation of designed tools to ensure reliability and performance. Promote best practices in automation and digitization across the business unit.
• Work jointly with operational and Data & Digitization teams to understand and prioritize user requirements of automation and digitization, formulate clear development roadmaps, perform testing and validation, and deploy digital solutions aimed at improving quality, increasing labor efficiency, and/or maximizing production capacity in a standardized way across the business unit.
• Accountable for understanding and supporting key initiatives within container engineering such as CQI (Container Quality Initiative) and FA (failure analysis).
• Gain knowledge of container processing capabilities of all production sites, the people and their specialty skillsets.
• Mentor and manage a global team with members across thin films manufacturing sites in the US and Asia. Support automation and digital tool adoption within the business through upskilling, training, and engagement initiatives of team and self.

Who You Are

Minimum Qualifications:

• Bachelor's degree in engineering, science, or other technical discipline
• 5 years industry experience in areas such as process engineering, controls engineering, equipment manufacturing, automation and chemical manufacturing
• Strong project management skills used for managing complex multi-phased projects including scope, schedule, and cost
• Basic understanding of data engineering, pipeline development, data science, data analytics, and data visualization
• Basic understanding of automation, PLC systems, and programming syntax
• Appreciation of chemical hazards in the electronics industry

Preferred Qualifications:

• MS or PhD in engineering, science, or other technical discipline
• 7 industry experience in areas such as process engineering, controls engineering, equipment manufacturing, automation and chemical manufacturing
• Strong organizational and planning skills with attention to detail
• Excellent leadership, communication and interpersonal skills
• Ability to work effectively in a global team-oriented environment and manage multiple projects simultaneously
• Proficient with data engineering, pipeline development, data science, data analytics, and data visualization with Palantir Foundry, Tableau, and/or dashboard development
• Proficient knowledge in automation, Siemens and Allen Bradley PLC systems, and programming syntax

Pay range for this position: $144,200 - $225,100

Our ranges are derived from several sources, and largely reliant on relevant industry market data. Should we decide to make an offer, we will consider several factors, including but not limited to your location, skills, experience, career level, and other job-related factors. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; paid time off; and paid holidays; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses.

The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.