• Posted on: Nov 04, 2024
  • Location: Tyler, TX
  • Job ID: c6af0523
  • Type: Full Time
  • Category: Engineering
  • Posted on: Nov 04, 2024
  • Location: Tyler, TX
  • Job ID: c6af0523
  • Type: Full Time
  • Category: Engineering

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Job expectations

  • Strong commitment to personal and process safety; willing to intervene and advocate for actions that reduce risk.

  • Lead multidisciplinary teams to execute technical projects and production trials at a manufacturing scale aligned with business objectives.

  • Project examples include yield improvements, waste & energy reduction, debottlenecking, and raw material qualifications.

  • Exhibit a high level of initiative, drive, and leadership; able to overcome barriers through collaboration and innovative thinking.

  • Results-oriented individual capable of defining and solving complex chemical manufacturing problems and implementing lasting solutions.

  • Work effectively with all levels and individual disciplines of the broader organization, including other engineers, operators, technicians, technical experts, and organizational leaders

  • Communicate effectively and gain organizational buy-in for improvements.

  • Document best practices and share results from completed projects to ensure favorable impacts are real and sustained.

 

Skillsets

Strong project leadership, defined as –

  • Communicate & collaborate effectively

  • Analytically minded

  • Effectively define problems & implement data-driven solutions

  • Driven & energetic

  • Lead multiple projects in parallel

  • Results-oriented & execution-focused

  • Build effective teams with the right expertise & resources

  • Structured approach to project leadership (agreement on goals, milestone planning, gate reviews, etc.)

 

Qualifications

  • Candidates must have B.S. or M.S. in Chemical Engineering or related discipline from an accredited college or university.

  • 3 years of Manufacturing or Continuous Improvement experience is preferred.

  • Six Sigma Greenbelt or Blackbelt certification is preferred.

  • Experience with any of the following systems is an advantage

    • Statistical analysis software

    • PI Vision

    • Distributed Control Systems

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