Manufacturing Artificial Intelligence Manager

Protiviti • Tampa, FL

2d • $132,000 - $228,000 • 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 business community.

The position applies manufacturing AI, analytics, operations technology, and process improvement to improve operational outcomes. It involves analyzing manufacturing data, collaborating with plant-floor personnel and cross-functional teams, developing analytics models and reporting tools, and leading improvement projects. The role also includes client workshops and discovery, financial and ROI analysis, implementation support, team leadership and development, and participation in business development.

The workplace follows a hybrid model combining in-person work at Protiviti offices and client sites with remote work. The amount of travel and in-person work varies according to client, project, team, and business needs. The role is listed in Dallas, with additional locations in 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/industrial/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.
• Proficiency with AI tools such as Microsoft Data Foundry or equivalent, ChatGPT, Claude, Copilot, or NVIDIA.
• Experience in program or project management, with a record of 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 in Microsoft Office, particularly Word, Excel, and PowerPoint.
• Hands-on ability to work with operations technology, particularly data-tag analysis and manipulation.
• Ability to execute manufacturing AI techniques in prompt development and machine-learning techniques.
• Ability to execute discrete-flow simulation modeling.
• Ability to establish and cultivate professional relationships and pursue business-development opportunities.
• Leadership and direct supervisory experience, including performance appraisals, mentoring, 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, Tableau, or Power BI.

Responsibilities

• Analyze manufacturing data to identify trends, inefficiencies, and opportunities to improve asset utilization, throughput, productivity, quality, and waste management.
• Collaborate with plant-floor personnel to understand operational challenges and develop data-driven solutions.
• Develop and deploy analytics models, dashboards, and reporting tools tailored to plant-floor needs.
• Lead and manage multiple process-improvement projects, ensuring alignment with business goals and 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 operational standards development.
• Maintain data integrity across manufacturing systems and support root-cause analysis and corrective-action implementation.
• Provide real-time analysis and reporting to help identify and resolve manufacturing issues.
• Partner with production, maintenance, quality, logistics, and other cross-functional teams to drive continuous improvement.
• 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 clientele.
• 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.
• Develop strategies and solutions for client business problems, deliver quality work, and foster lasting client relationships.

Benefits

• Annual bonus plan with eligible employees offered additional cash and/or discretionary stock compensation opportunities; the stated bonus target is 12%.
• Medical coverage.
• Dental coverage.
• Vision coverage.
• FSA and HSA healthcare accounts.
• Life and accident insurance.
• Adoption and fertility assistance.
• Paid parental leave of 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager