Hiring.Camp

Digital Manufacturing Consultant (MES, Digital Automation, Digital Twin) Senior Associate

Pwc

·

Yesterday

Salary
$77k – $202k
Location
New York - 300 Madison Avenue, United States of America · IN-Indianapolis · GA-Atlanta · TX-Austin · IL-Chicago · DC-Washington · OH-Cleveland · OH-Columbus · MO-Kansas City · TX-Dallas · FL-Miami · MD-Baltimore · MN-Minneapolis · CO-Denver · TN-Nashville · MA-Boston · MO-St. Louis · PA-Philadelphia · PA-Pittsburgh · SC-Spartanburg · TX-Houston
Type
Full-time
Department
IT
Seniority
Entry
Experience
3+ years
Education
Bachelor
Source
Workday

Description

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Senior Associate

Job Description & Summary

The Opportunity

As a Digital Manufacturing Consultant (MES, Digital Automation, Digital Twin) Senior Associate, you will engage with clients to transform their manufacturing operations through digital solutions. Within our Operations practice, you will leverage your skills to analyze complex problems and deliver impactful solutions that enhance product development and manufacturing processes. This role involves working closely with clients to understand their needs and develop tailored strategies that drive efficiency and innovation.

As a Senior Associate, you will focus on building meaningful client relationships and developing a deeper understanding of the business context. You will guide and mentor junior team members, helping them navigate complex situations and grow their personal brand. Your role will involve anticipating client needs and delivering quality solutions, even when the path forward is not clear. You will use your skills to interpret data, inform insights, and uphold professional standards.

In this role, you will have the opportunity to work on diverse projects that challenge your problem-solving abilities and expand your technical knowledge. You will be part of a dynamic team that values collaboration and continuous improvement, contributing to the success of our clients and the firm.

Responsibilities

- Analyzing complex manufacturing processes to identify opportunities for digital transformation
- Implementing digital automation solutions to enhance production efficiency and reduce operational costs
- Utilizing emerging technologies to develop and optimize digital twin models for manufacturing systems
- Collaborating with cross-functional teams to integrate digital tooling into existing manufacturing workflows
- Leading process simulation initiatives to improve production control and resource management
- Documenting and standardizing manufacturing processes to support lean manufacturing strategies
- Advising on manufacturing strategy and operations management to align with client objectives
- Managing project resources effectively to deliver digital manufacturing solutions on time
- Building relationships with clients to understand their needs and provide tailored digital solutions
- Promoting the adoption of innovative digital practices within manufacturing environments

What You Must Have

- At least a Bachelor's degree
- At least 3 years of experience

What Sets You Apart

- Preference for at least one of the following fields of study: 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, Science
- Demonstrating proficiency in digital tooling and emerging technologies
- Utilizing analytical thinking to enhance manufacturing strategies
- Applying lean manufacturing principles to optimize operations
- Managing operations strategy with a focus on process simulation
- Excelling in project resource management for client support
- Developing innovative solutions in product ideation and production control

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Skills

Data ScienceLean Manufacturing

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