Digital Manufacturing Manager (Digital Automation, MES, Digital Twin)

PricewaterhouseCoopers•Indianapolis, NY

About The Position

As a Digital Manufacturing Manager at PwC, you will lead client-facing work across digital automation, manufacturing execution systems (MES), and digital twin solutions. You will support efforts to improve manufacturing performance, streamline production processes, and apply digital tools across the product lifecycle. Within PwC’s Advisory practice, you will motivate and coach teams, manage workstreams, and use sound judgment to guide complex delivery while balancing multiple priorities and client needs. You will help clients identify process bottlenecks, shape digital manufacturing strategies, and apply connected technologies to improve speed to market, cost control, and product quality.

Requirements

At least a bachelor's degree.
At least 5 years of experience.

Nice To Haves

A field of study in one or more of the following: Analytics/Data Science, Artificial Intelligence/Robotics, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Engineering, Environmental Science/Sustainability, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, or Science.
Digital manufacturing, MES, or digital twin project delivery experience.
Experience leading cross-functional teams through complex workstreams.
Manufacturing strategy, lean methods, or process simulation skills.
Experience managing project budgets, timelines, and deliverables across client engagements.
Ability to mentor team members and navigate client issues with professional courage.

Responsibilities

Lead digital manufacturing workstreams across product development and production environments.
Manage client engagement activities, project plans, budgets, timelines, and deliverables.
Guide teams in designing and implementing digital automation, MES, and digital twin solutions.
Analyze manufacturing processes to identify bottlenecks, cost drivers, and productivity improvement opportunities.
Develop strategies that connect product lifecycle management, supply chain integration, and manufacturing execution.
Apply lean manufacturing, Six Sigma, and process simulation methods to improve throughput and quality.
Advise clients on digital engineering platforms, smart factory integration, and connected technology use cases.
Coach team members, review work products, and build capabilities across delivery teams.
Identify opportunities to use digital tooling, AI-enabled methods, and emerging technologies in manufacturing programs.
Validate alignment with professional standards, project objectives, and client expectations.