Manufacturing Artificial Intelligence Manager

Protiviti•Dallas, TX

1d•Hybrid

About The Position

Protiviti is seeking a Manager to join its growing Supply Chain & Operations team. The role partners with clients to identify and manage complex business problems, develop strategies, and deliver advice and solutions using current tools and methods. The Manager builds lasting client relationships through quality delivery, develops a professional network, and represents Protiviti in the market. The position focuses on applying artificial intelligence, analytics, and operational improvement methods to manufacturing. The Manager works with plant-floor personnel and cross-functional teams to understand operational challenges, analyze manufacturing data, develop and deploy models and reporting tools, and implement data-driven improvements. The role also includes leading projects and client discussions, assessing financial impact, supporting personnel training, and contributing to business development and team leadership. The role follows Protiviti’s hybrid workplace model, combining purposeful in-person work with remote work. The balance varies by client, project, team, and other business factors. Work may take place in local Protiviti offices and on client sites, with local or out-of-state travel depending on project and client needs. The listed locations include Dallas, Atlanta, Austin, Charlotte, Chicago, Houston, Miami, and Tampa.

Requirements

Bachelor’s degree in a relevant discipline, such as Engineering, Supply Chain, Operations, or a business-related field.
At least 5 years of experience in consulting, manufacturing, manufacturing or industrial or equipment engineering, operations technology, manufacturing AI, operational digital twins, discrete-flow simulation, or a related field, in professional services or industry.
Experience in a manufacturing environment, with direct exposure to plant-floor operations and operations technology.
Demonstrated ability to use data and AI to solve manufacturing problems and improve operational outcomes.
Ability to understand and work hands-on with operations technology, particularly data-tag analysis and manipulation.
Experience executing manufacturing AI techniques in prompt development and machine-learning techniques, and executing discrete-flow simulation modeling.
Experience with program or project management and successfully running multiple improvement projects.
Solid understanding of manufacturing financials, including cost analysis and ROI calculations.
Excellent communication skills and ability to translate complex data into actionable insights for plant-floor personnel and management.
Proficiency with Microsoft Office, particularly Word, Excel, and PowerPoint.
Leadership and direct supervisory experience, including performance appraisals, mentoring and coaching, work oversight and review, team coordination, and motivating others.

Nice To Haves

Experience with data historians such as OSIsoft, understanding of data tags, and knowledge of high-value use cases.
Professional certification such as CPM, CPSM, CSCP, CPIM, PMP, TPM, Six Sigma/Lean Six Sigma, Certified Scrum Professional, or similar is strongly preferred.
Experience with Visio, Access, SQL, Python, and Tableau or Power BI.
Proficiency with AI tools such as Microsoft Data Foundry or equivalent, ChatGPT, Claude, Co-Pilot, and NVIDIA.

Responsibilities

Analyze manufacturing data to identify trends, inefficiencies, and opportunities involving asset utilization, throughput, productivity, quality, and waste management.
Collaborate with plant-floor personnel to understand operational challenges and design data-driven solutions that improve productivity and support their work.
Develop and deploy analytics models, dashboards, and reporting tools tailored to plant-floor needs.
Lead and manage multiple process-improvement projects, aligning work with business goals and ensuring timely delivery.
Lead client workshops, discovery sessions, and stakeholder discussions to identify opportunities, validate findings, and refine recommendations.
Conduct ROI and financial impact analyses for proposed operational changes or capital expenditures.
Implement and track process modifications, including equipment selection, process-flow redesign, and development of operational standards.
Maintain data integrity across manufacturing systems and support root-cause analysis and corrective actions.
Provide real-time analysis and reporting to support quick identification and resolution of manufacturing issues.
Partner with production, maintenance, quality, logistics, and other cross-functional teams to advance continuous improvement initiatives.
Assist in training plant personnel on new systems, standards, and best practices.
Evaluate, summarize, organize, and interpret data.
Build and cultivate business relationships and a professional network, including relationships with senior executives.
Pursue business-development opportunities and identify and implement strategies to obtain new work or clients.
Communicate issues, risks, and challenges to client personnel, including executives.
Lead and supervise teams, including conducting performance appraisals, mentoring and coaching, reviewing work, coordinating across teams, and motivating team members.
Participate in preparing client proposals and strategies to win new business.
Create development opportunities for team members, including contributing to training and improvement efforts.

Benefits

Annual bonus plan with eligible employees receiving additional cash and/or discretionary stock compensation opportunities; the stated bonus target is 12%.
Medical, dental, and vision coverage.
Flexible Spending Account (FSA) and Health Savings Account (HSA) healthcare accounts.
Life and accident insurance.
Adoption and fertility assistance.
Paid parental leave up to 10 weeks.
Short- and long-term disability coverage.
Company 401(k) savings and investment plan with an employer match of 50% on the first 6% of employee contributions.
Choice Time Off for vacation, personal needs, and sick time; new hires receive up to 20 days per calendar year, with the amount varying by years of service.
Up to 11 paid holidays each calendar year.