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

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $8.3 Billion in revenue in 2025, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers’ success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2025 Environmental Social and Governance report at . Follow: LinkedIn, Twitter, Instagram, Facebook, and YouTube.Equal Opportunity Employer:Howmet is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.If you need assistance to complete your application due to a disability, please email View email address on click.appcast.io QualificationsBachelor’s degree in Engineering from an accredited institution Minimum of 5 years of experience in EngineeringMinimum of 3 years of people leadership experienceEmployees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.Preferred QualificationsBS in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Electrical Engineering from an accredited institution Understanding of: Lean Manufacturing Theory of Constraints Queueing concepts Statistical process variation Capacity analysis Production scheduling Experience with ERP/MES systems Strong analytical and communication skills Ability to translate operational data into practical floor-level improvements Thinks in terms of systems rather than isolated departments Comfortable balancing competing operational priorities Uses data but understands human and organizational realities Focuses on sustainable flow instead of short-term utilization metrics Can communicate complex operational tradeoffs to leadership and frontline teamsPosition SummaryWe 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 Roles 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 scaleOptimizer--constantly challenging the organization to work smarter; supports others to ensure they have what they need to do their work successfullyAnticipation--looks ahead to minimize potential issues and maximize advantages; prepares others for what comes nextOperational accelerator--drives continuous improvement; understands ramifications of automation and other advances; advocates for safety, ergonomics and scalable solutionsOrganization and structure--works within existing structures while striving to improve and standardize them; provides accurate information; galvanizes others toward common goalsInfluence--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 stakeholdersData informed--focused on things that drive quantifiable business outcomes; evaluates based on quantitative feedback; knows and explains the “why” behind actionsPrioritized reaction--handles the unexpected without losing sight of important objectives; reacts where greatest leverage points existRelationship--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 heardKey ResponsibilitiesLead 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 standardsFlow & Throughput OptimizationAnalyze 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 ManagementMonitor 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, and material shortages Support preventive maintenance and reliability initiatives Production Planning & SchedulingPartner with planning teams to improve schedule realism and execution Reduce WIP and manufacturing lead times through pull systems, batch reduction, and improved sequencing Evaluate tradeoffs between responsiveness, inventory, and capacity Data Analysis & ModelingUse operational data to model cycle times, queue behavior, throughput, and capacity Develop KPIs focused on system performance: Throughput On-time delivery WIP inventory Flow time OEE Schedule attainment Conduct simulation or what-if analysis for process changes Continuous ImprovementLead Lean / Six Sigma / Kaizen initiatives grounded in system-level thinking Facilitate root cause analysis for chronic operational instability Implement standard work and visual management systems Drive digital manufacturing initiatives Full timePosting Date: 2026-07-23