Manufacturing AI Manager

Protiviti

. Join Protiviti’s growing Supply Chain & Operations team as a Manager .

Posted 11/3/2026full-timeUnited StatesMid-LevelSenior💰 $132,000 - $228,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Supply Chain and Operations Management, leveraging data analytics and AI tools to drive process improvements and operational efficiency. Proven ability to lead cross-functional teams and manage complex projects while maintaining strong client relationships.

Highest-signal resume keywords

Data Analysis and AI UtilizationProject ManagementManufacturing Financial AnalysisClient Relationship ManagementProcess Improvement Leadership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisManufacturing OperationsProcess ImprovementCost AnalysisROI CalculationsProject ManagementManufacturing AIDiscrete Flow SimulationOperational Digital TwinsData Integrity Maintenance

Soft Skills

Excellent CommunicationTeam LeadershipMentoringCoachingStakeholder Engagement

Tools & Technologies

Microsoft Data FoundryChatGPTClaudeCo-PilotNVIDIAMicrosoft OfficeVisioAccessSQLTableau / Power BI

Certifications & Qualifications

CPMCPSMCSCPCPIMPMPTPMSix SigmaLean Six SigmaCertified Scrum Professional

Industry Keywords

Supply Chain ManagementOperations TechnologyManufacturing EnvironmentPlant Floor OperationsContinuous ImprovementBusiness DevelopmentManufacturing DataQuality ManagementAsset UtilizationWaste Management

Tech Stack

Tools & technologies

PMPPythonSQLTableau

About the role

Key responsibilities & impact

Join Protiviti’s growing Supply Chain & Operations team as a Manager
Partner with clients to identify and manage complex business problems
Provide best-in-class advice and solutions using current tools and methods
Develop strategies and solutions supporting client needs
Build lasting relationships with client personnel through quality product delivery
Foster a business-community network and serve as a Protiviti market ambassador
Analyze manufacturing data to identify trends, inefficiencies, and improvement opportunities in asset utilization, throughput, productivity, quality, and waste management
Collaborate with plant-floor personnel to understand operational challenges and design data-driven solutions
Develop and deploy analytics models, dashboards, and reporting tools for plant-floor needs
Lead and manage multiple process-improvement projects aligned with business goals and timely delivery
Lead client workshops, discovery sessions, and stakeholder discussions
Conduct ROI and financial-impact analyses for operational changes or capital expenditures
Implement and track process modifications, including equipment selection, process-flow redesign, and operational-standards development
Maintain data integrity across manufacturing systems and support root-cause analysis and corrective actions
Provide real-time analysis and reporting to identify and resolve manufacturing issues
Partner with production, maintenance, quality, and logistics teams on continuous improvement
Train plant personnel on new systems, standards, and best practices
Evaluate, summarize, organize, and interpret data
Establish business relationships and a professional network, including with senior executives
Pursue business-development opportunities and strategies to obtain new work or clientele
Translate and communicate issues, risks, and challenges to client personnel and executives
Lead and supervise teams through performance appraisals, mentoring, coaching, work review, and cross-team coordination
Participate in client proposal preparation, training creation and rollout, and team development

Requirements

What you’ll need

Bachelor’s degree in a relevant discipline (e.g., Engineering, Supply Chain, Operations, or Business-Related Field)
5+ years working in Consulting, Manufacturing, Manufacturing/Industrial/Equipment Engineering, Operations Technology, Manufacturing AI, Operational Digital Twins, Discrete Flow Simulation or related field
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
Proficiency in AI tools such as Microsoft Data Foundry (or equivalent), ChatGPT, Claude, Co-Pilot, and NVIDIA
Experience in program or project management, with a track record of successfully running multiple improvement projects
Solid understanding of manufacturing financial aspects, including cost analysis and ROI calculations
Excellent communication skills, with the ability to translate complex data into actionable insights for plant floor personnel and management
Proficiency in Microsoft Office, especially Word, Excel, and PowerPoint
Secondary proficiency in Visio, Access, SQL, Python, and Tableau / Power BI
Experience with data historians such as OSIsoft; understanding of data tags and high-value use cases is a plus
Professional certification such as CPM, CPSM, CSCP, CPIM, PMP, TPM, Six Sigma/Lean Six Sigma, Certified Scrum Professional, or similar strongly preferred
Successful completion of a background check is required for an employment offer
Must be eligible to work in an eligible U.S. location; Protiviti is not registered to hire or employ personnel in West Virginia or Alaska

Benefits

Comp & perks

Annual bonus plan with 12% bonus target opportunity
Discretionary stock compensation opportunities
Medical, dental, and vision coverages
FSA and HSA healthcare accounts
Life and accident insurance
Adoption and fertility assistance
Paid parental leave up to 10 weeks
Short-term and long-term disability
401(k) savings and investment plan with employer match of 50% on the first 6% of contributions
Choice Time Off (CTO) for vacation, personal needs, and sick time; new hires receive up to 20 days per calendar year
Up to 11 paid holidays each calendar year
Hybrid work model combining in-person and remote work
Flexible work environment
Reasonable accommodation assistance