Smart Manufacturing Consultant

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Smart Manufacturing Consultant based in United States.

This role offers the opportunity to help manufacturing organizations transform their operations through advanced digital technologies and industrial AI solutions.

You will work at the intersection of engineering, consulting, and emerging technologies to solve complex operational challenges.

The position focuses on designing and delivering AI-enabled strategies that improve efficiency, quality, and decision‑making across industrial environments.

You will collaborate with technical experts, business leaders, and operational teams to translate opportunities into scalable solutions.

The role combines strategic advisory work with hands‑on technical understanding of AI, automation, and manufacturing systems.

You will contribute to impactful transformation projects while helping shape the future of smart manufacturing.

The Smart Manufacturing Consultant will lead consulting engagements focused on industrial AI, digital transformation, and manufacturing optimization. This role requires combining business consulting expertise with technical knowledge to identify opportunities, design solutions, and support successful implementation across industrial environments.

• Lead industrial AI consulting engagements, including strategy assessments, use case identification, feasibility studies, roadmap creation, and business case development.
• Analyze manufacturing operations to identify opportunities for AI‑driven improvements in areas such as predictive maintenance, quality optimization, process control, and autonomous operations.
• Facilitate workshops with client stakeholders to define AI opportunities, evaluate feasibility, and align business and technical teams.
• Develop executive‑level recommendations, presentations, reports, and implementation strategies that clearly communicate value and next steps.
• Assess AI solution architectures involving computer vision, digital twins, advanced analytics, predictive systems, and autonomous operations.
• Evaluate data readiness, governance requirements, and integration strategies for AI initiatives across industrial systems.
• Design solutions that connect AI capabilities with manufacturing technologies such as SCADA, MES, historians, and IoT platforms.
• Support implementation projects by collaborating with engineers, data scientists, and operational technology teams.
• Provide guidance on AI model development, validation, deployment, and adoption within production environments.
• Build strong relationships with clients, identify future opportunities, and contribute to proposals and business development activities.
• Contribute to internal knowledge development through methodologies, frameworks, case studies, and thought leadership content.
• Stay current with industrial AI trends, manufacturing technologies, and digital transformation best practices.

The ideal candidate brings a strong combination of engineering knowledge, consulting experience, and expertise in industrial AI applications. They should be comfortable working with technical and executive stakeholders while translating complex challenges into practical business solutions.

• Bachelor’s degree in Engineering (Industrial, Mechanical, Chemical, Electrical, Computer Science, or related discipline); advanced degree such as MS or MBA preferred.
• 5+ years of professional experience combining management consulting and technical engineering work within industrial or manufacturing environments.
• Minimum 3 years of consulting experience in management consulting, industrial consulting, or engineering consulting organizations.
• Demonstrated experience with industrial AI, machine learning, advanced analytics, or digital transformation initiatives.
• Strong understanding of AI/ML concepts, including model development, validation, deployment, and operationalization.
• Experience with industrial AI applications such as predictive maintenance, quality prediction, process optimization, digital twins, computer vision, or autonomous operations.
• Familiarity with…