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Manufacturing Systems Leader Plant ; On-site

Job in Township of Whitehall, Muskegon County, Michigan, USA
Listing for: Howmet Aerospace Inc.
Full Time position
Listed on 2026-11-04
Job specializations:
  • Manufacturing / Production
    Lean Manufacturing / Six Sigma, Operations Management, Quality Engineering, Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Manufacturing Systems Leader Plant 5 (On-site)
Location: Township of Whitehall

Manufacturing Engineering Leader (MES) - Plant 5 - Ti-Cast

Whitehall, MI, United States (On-site)

Job Info
  • Job Identification 117871
  • Job Category Engineering
  • Posting Date 09/08/2026, 11:15 AM
  • Locations One Misco Drive, Whitehall, MI, , US (On-site)
  • Job Schedule Full time
  • Export-Controlled Data This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items
Responsibilities

Position Summary

We are seeking a Manufacturing Systems Engineering Leader to improve factory performance through the design and optimization of production flow, capacity utilization, inventory management, and operational stability. This role applies data-driven operational principles to reduce lead time, improve throughput, lower WIP inventory, and increase schedule reliability across manufacturing operations.

The ideal candidate understands that manufacturing performance emerges from system behavior — including variability, bottlenecks, queueing, and resource constraints — and uses analytical methods to improve overall factory performance rather than isolated local metrics.

Job Role s

  • Systems thinker--sees the business and its operation holistically; understands actions and reactions; considers multiple pathways of potential effect before decisions; thinks strategically about interventions with an eye toward scale
  • Optimizer--constantly challenging the organization to work smarter; supports others to ensure they have what they need to do their work successfully
  • Anticipation--looks ahead to minimize potential issues and maximize advantages; prepares others for what comes next
  • Operational accelerator--drives continuous improvement; understands ramifications of automation and other advances; advocates for safety, ergonomics and scalable solutions
  • Organization and structure--works within existing structures while striving to improve and standardize them; provides accurate information; galvanizes others toward common goals
  • Influence--leverages knowledge, relationship, data and perspective to persuade, educate and navigate; gains buy in and adoption of ideas and practices at scale; interacts with a variety of stakeholders
  • Data informed--focused on things that drive quantifiable business outcomes; evaluates based on quantitative feedback; knows and explains the “why” behind actions
  • Prioritized reaction--handles the unexpected without losing sight of important objectives; reacts where greatest leverage points exist
  • Relationship--connects individually and with teams across shifts and practices; builds rapport and commonality; creates a “win together” ethic; serves as liaison between shop floor and engineering; keeps the pulse of the floor; helps people feel heard

Key Responsibilities

Lead Manufacturing Engineering Team

  • Plan meetings, assign tasks, manage staffing, conduct performance reviews, and coach employees in manufacturing engineering discipline.
  • Introduce new hires to EHS rules, company policies, and business initiatives to foster a safe, productive culture.
  • Maintain adherence to all relevant regulations and internal standards

Flow & Throughput Optimization

  • Analyze production flow and identify bottlenecks, congestion points, and excessive queueing
  • Improve throughput while balancing labor, equipment utilization, inventory, and lead time
  • Design production systems that minimize variability and improve flow stability
  • Optimize line balancing and workstation design

Capacity & Variability Management

  • Monitor utilization levels and identify where excessive loading creates instability
  • Develop buffering strategies for inventory, staffing, and machine capacity
  • Reduce operational variability caused by downtime, scheduling volatility, changeovers, quality losses,…
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