Digital Manufacturing Program Manager

Generac Power Systems•Waukesha, WI

1d•Onsite

About The Position

The Program Manager will lead the execution, governance, and business adoption of strategic digital manufacturing and industrial AI initiatives across the enterprise. This role will serve as the operational leader for a multidisciplinary team consisting of Digital Manufacturing Engineers, Controls Engineering resources, Industrial Engineering/MES specialists, and a growing team of AI Application Engineers supporting manufacturing, quality, engineering, maintenance, and service operations. The successful candidate will own program management across the Digital Factory portfolio, driving execution of MES, traceability, industrial data platforms, OT/IT integration, machine vision, AI deployment, predictive analytics, and emerging Generative AI solutions. The role will ensure projects are delivered on time, within budget, and with measurable business impact across Safety, Quality, Delivery, Cost, and Productivity (SQDCP). This position acts as the connective tissue between manufacturing operations, engineering, IT, plant leadership, vendors, and executive stakeholders.

Requirements

Bachelor’s degree in engineering, Computer Science, Information Systems, Industrial Engineering, Manufacturing Engineering, or related field
5 years of manufacturing technology, operations, engineering, or digital transformation experience
5 years leading complex programs and cross-functional teams
Experience delivering enterprise-scale manufacturing technology implementations
Experience managing capital and operational project budgets

Nice To Haves

Master’s Degree
PMP
PMI-ACP
Scrum Master
Lean Six Sigma Green Belt or Black Belt
Microsoft AI or Azure certifications
Strong understanding of: Manufacturing Operations, MES platforms, Industrial Automation, Controls and OT Systems, Manufacturing Analytics, Traceability Systems, Data Platforms, AI/ML Technologies, Computer Vision, Cloud Technologies, Agile and Traditional Project Management Methods

Responsibilities

Lead the execution and governance of the Advanced Manufacturing digital roadmap.
Manage a portfolio of manufacturing technology projects across multiple sites.
Develop and maintain project prioritization frameworks based on business value and strategic objectives.
Drive project planning, resource allocation, budget tracking, risk mitigation, and executive reporting.
Establish project management standards, KPIs, and governance processes across digital initiatives.
Coordinate and manage a team of AI Engineers focused on: Computer Vision, Machine Learning, Predictive Analytics, Generative AI, Autonomous Manufacturing Agents, Digital Worker Applications
Partner with business stakeholders to identify, evaluate, prioritize, and scale AI use cases
Drive AI project intake, business case development, ROI validation, and deployment planning
Ensure AI initiatives move effectively from proof of concept into production deployment
Oversee implementation and enhancement of: MES platforms, Traceability systems, Industrial IoT solutions, SCADA and Controls integrations, Asset performance platforms, Quality systems, Manufacturing data platforms
Coordinate resources across Digital Manufacturing Engineers, Controls Engineering, MES specialists, and plant teams
Facilitate alignment between: Manufacturing, Operations, Quality, Engineering, Supply Chain, IT, Product Development
Lead steering committee reviews and executive program reviews.
Provide regular updates to senior leadership regarding project performance, risks, dependencies, and expected outcomes.
Develop project financial models and ROI calculations
Track realization of business benefits
Ensure digital and AI investments create measurable operational value
Support capital planning and strategic investment decisions
Build project management discipline across the Advanced Manufacturing organization
Establish best practices for change management, user adoption, and operational readiness
Support workforce transformation and AI adoption initiatives