Manufacturing Engineer

Actalent Inc

Appleton, WI

JOB DETAILS
SALARY
$100,000–$110,000 Per Year
SKILLS
Analysis Skills, Artificial Intelligence (AI), Bill of Materials (BOM), Candidate Screening, Capacity Analysis, Capital Expenditure (CAPEX), Continuous Improvement, Cost Modeling, Cross-Functional, Data Modeling, Design Services, Engineering, Engineering Change Management, Engineering Change Order, Ergonomics, Feasibility Analysis, Genetics, Industrial Engineering, Investment Capital, Leadership, Lean Manufacturing, Lean Six Sigma, Line Balancing, Make-Versus-Buy Analysis, Manufacturing, Manufacturing Engineering, Manufacturing Operations, Manufacturing Systems, Manufacturing/Industrial Processes, Materials Planning, Mechanical Engineering, Mentoring, Operating Systems, Operational Improvement, Operational Support, Operations Processes, Organizational Development/Management, Organizational Skills, Performance Metrics, Problem Solving Skills, Process Capability, Process Development, Process Improvement, Process Manufacturing, Product Costing, Product Design, Product/Service Launch, Production Support, Productivity Model, Proofreading, Quality Management, Reimbursement, Return on Investment (ROI), Simulation, Six Sigma, Standards Development, Team Lead/Manager, Team Player, Technical Leadership, Technical/Engineering Design, Tolerance Analysis, Training/Teaching
LOCATION
Appleton, WI
POSTED
4 days ago

Job Title: Manufacturing Engineer / Advanced Industrial Engineer - Lead

Job Description

This role plays a critical part in shaping the future state of operations by delivering scalable, efficient, and resilient manufacturing systems. The Manufacturing Engineer / Advanced Industrial Engineer - Lead directly influences cost structure, product quality, delivery performance, and the organization's ability to grow and compete. You will lead a team that supports manufacturing and operational projects from concept through implementation, ensuring alignment with operating system principles such as designing systems that expose problems, addressing issues at their source, promoting knowledge sharing, and developing leaders who teach and mentor others.

Responsibilities

  • Design and optimize end-to-end manufacturing and operational processes to improve efficiency, quality, and scalability.
  • Lead a team focused on advanced time studies, line balancing, capacity modeling, and throughput optimization initiatives.
  • Develop standard work, labor models, and ergonomic solutions tailored to complex manufacturing environments.
  • Apply Lean, Six Sigma, and Theory of Constraints methodologies to identify and eliminate waste across operations.
  • Build and maintain advanced simulation, flow, and capacity models to support data-driven decision-making.
  • Create cost models, make-versus-buy analyses, and ROI justifications for capital expenditures and process investments.
  • Influence product design by applying DFMA principles, tolerance analysis, error-proofing strategies, and assembly feasibility studies.
  • Lead new product introduction (NPI) industrialization efforts, including production layouts, material flow design, and ramp-up strategies.
  • Drive continuous improvement through structured events, KPI development, and cross-functional leadership across manufacturing and operations.
  • Perform other related duties as required and assigned to support operational excellence and business objectives.

Essential Skills

  • Proven experience in industrial engineering or manufacturing engineering, with responsibility for end-to-end process design and optimization.
  • Demonstrated ability to lead teams in advanced time studies, line balancing, capacity modeling, and throughput optimization.
  • Strong expertise in developing standard work, labor models, and ergonomic solutions for complex manufacturing operations.
  • Hands-on experience applying Lean manufacturing principles to reduce waste and improve flow.
  • Practical application of Six Sigma tools and methodologies to enhance quality and process capability.
  • Ability to use Theory of Constraints concepts to identify bottlenecks and increase system throughput.
  • Proficiency in building and maintaining advanced simulation, flow, and capacity models for manufacturing systems.
  • Experience creating cost models, make-versus-buy analyses, and ROI justifications for capital and process investments.
  • Experience in influencing product design through DFMA, tolerance analysis, error-proofing, and assembly feasibility assessments.
  • Experience leading new product introduction industrialization, including production layouts, material flow planning, and ramp-up strategies.
  • At least 7 years of industrial or operations engineering experience.
  • Bachelor"s degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or a related field.

Additional Skills & Qualifications

  • Experience with new product introduction processes and manufacturing process development.
  • Background in manufacturing engineering, including process optimization and production support.
  • Familiarity with engineering change order processes and BOM (bill of materials) generation.
  • Strong analytical and problem-solving skills with a data-driven approach to decision-making.
  • Ability to collaborate effectively with cross-functional teams and provide technical leadership.
  • Comfort with continuous improvement initiatives and driving operational excellence across multiple sites or functions.

Work Environment

The role operates in a manufacturing and industrial engineering environment that emphasizes data-driven decision-making, continuous improvement, and cross-functional collaboration. You will work closely with production, design, and operations teams to develop and refine manufacturing systems, using tools such as simulation models, flow and capacity analyses, and ergonomic assessments. The environment focuses on Lean and Six Sigma methodologies, structured standard work, and well-defined production layouts and material flows. Work may involve time on the shop floor observing processes, conducting time studies, and validating improvements, as well as office-based analytical and design tasks. The culture encourages knowledge sharing, mentoring, and the development of leaders who can teach others and drive sustainable improvements across the organization.

Job Type & Location

This is a Permanent position based out of Appleton, WI.

Pay and Benefits

The pay range for this position is $100000.00 - $110000.00/yr.

https://www.faithtechinc.com/careers/benefits-and-perks/ Medical Insurance (including Prescription Drug and Telehealth) Dental and Vision Insurance Flexible Spending Accounts (Health and Dependent Care) Health Savings Accounts Voluntary Benefits (Accident, Critical Illness and Hospital Indemnity Insurance)

Workplace Type

This is a hybrid position in Appleton,WI.

Application Deadline

This position is anticipated to close on Jul 24, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

About the Company

A

Actalent Inc