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About the Role
Help clients improve product development and manufacturing performance by analyzing lifecycles, identifying process bottlenecks, and shaping practical strategies that support speed to market, cost reduction, and quality improvement. Build meaningful client connections, develop your skills, and mentor junior team members while delivering work that supports broader business goals within our Advisory practice. Use structured thinking, tools, and methods to evaluate operational challenges, interpret data, and support the use of lean manufacturing principles, supply chain integration, and digital technologies.
Responsibilities
- Analyze product development and manufacturing operations to identify bottlenecks, reduce cycle time, and improve throughput.
- Develop process improvement recommendations that support lean manufacturing, quality, cost reduction, and speed to market.
- Interpret operational data, manufacturing metrics, and process documentation to inform insights and recommendations.
- Support client workstreams focused on product lifecycle management, production control, and supply chain integration.
- Apply digital engineering, simulation, and connected technology tools to improve manufacturing execution and product development workflows.
- Document current-state processes and design future-state operating models that align with business objectives.
- Guide junior team members through analysis, deliverable development, and issue resolution across assigned tasks.
- Build meaningful client relationships and adapt recommendations to varied stakeholder needs in complex environments.
Requirements
- At least a Bachelor's degree
- At least 3 years of experience
- 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
- Demonstrate manufacturing operations improvement or process optimization experience
- Apply Lean Manufacturing or Six Sigma methods to process challenges
- Interpret data trends to inform recommendations and actions
- Navigate client discussions across cross-functional manufacturing teams
- Use digital tools, AI fluency, or emerging technologies in operations
- Mentor junior team members while managing assigned workstreams
Work Type
- Up to 80% travel
Experience Level
- Senior Associate
Education Level
- Bachelor's degree
Salary/Compensations
- $77,000 - $202,000
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
About the Company
- PwC is an equal opportunity employer.
- Learn more about how we work: https://pwc.to/how-we-work
Equal Opportunity
- 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.
- 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.