Manager, Automation Engineer (manufacturing)

Pfizer Pfizer · Pharma · MI

Manager, Automation Engineer role at Pfizer focused on leading and developing automated processes and systems within manufacturing. Responsibilities include project management, system design, deployment, testing, and maintenance of automation infrastructure, ensuring compliance and operational efficiency. Requires strong engineering and project management skills, with bonus points for pharmaceutical experience and familiarity with AI tools.

What you'd actually do

  1. Lead or co-lead moderately complex projects, effectively managing time and resources.
  2. Apply skills and discipline knowledge to contribute to departmental work.
  3. Make decisions to resolve moderately complex problems and develop new options independently in ambiguous situations.
  4. Work independently on assignments, seeking guidance on unusual or complex problems.
  5. Review your own work, seek directional feedback, and mentor colleagues by reviewing their work.

Skills

Required

  • BA/BS with at least 4 years of experience or MBA/MS with at least 2 years of experience or PhD/JD with any years of experience or Associate's degree with at least 8 years of experience or High school diploma (or equivalent) with at least 10 years of relevant experience
  • Demonstrated experience in Automation Engineering, showcasing expertise in process controls equipment and Network Hubs
  • Strong design and debugging skills
  • Broad understanding of systems architecture and operations, along with related components
  • Excellent project management skills
  • Strong presentation and communication skills
  • Ability to work independently and manage multiple priorities

Nice to have

  • Master's degree and relevant pharmaceutical experience
  • Experience with regulatory compliance in a pharmaceutical manufacturing environment
  • Proficiency in using automation software and tools
  • Strong analytical and problem-solving skills
  • Ability to lead cross-functional teams and facilitate collaboration
  • Experience in developing and implementing new methodologies and concepts
  • Excellent interpersonal skills and the ability to mentor and guide team members
  • Strong organizational skills and attention to detail
  • Ability to adapt to changing priorities and work in a fast-paced environment
  • Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity. Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use

What the JD emphasized

  • Demonstrated experience in Automation Engineering, showcasing expertise in process controls equipment and Network Hubs
  • Broad understanding of systems architecture and operations, along with related components
  • Ability to work independently and manage multiple priorities