Hiring the IT, OT and engineering talent to scale smart factory programs

A multi plant manufacturer wanted to connect equipment, MES, SCADA, historians and quality systems to cloud analytics. The goals were real time visibility, higher throughput, less downtime and more consistent performance from one plant to the next.

This kind of work usually spans automation, equipment integration, robotics, PLC and HMI systems, analytics and AI, plus steady collaboration across manufacturing, quality, supply chain, production and IT.

Corporate IT knew cloud architecture but not plant systems. Plant engineering knew equipment and controls but had little experience with enterprise data platforms, cybersecurity or building software that scales.

The company needed leaders and builders who could work in both worlds without putting safety, reliability or security at risk.

We mapped the talent need across four layers: plant systems, edge and connectivity, cloud and data platforms, and operational adoption. That exposed gaps that broad titles like "Digital Manufacturing Engineer" were hiding.

For sourcing, we combined industrial automation networks with cloud, data and cybersecurity communities. We judged people on whether they could work across those groups, not just how deep they went in one tool.

Leadership:

• VP of Digital Manufacturing or Smart Factory Director
• Owns the multi plant roadmap, standards, investment priorities, value and adoption

Architects:

• IT/OT Enterprise Architect
• Edge and IoT Architect
• Manufacturing Cybersecurity Architect

Builders:

• MES Engineers
• IoT and Edge Engineers
• Streaming Data Engineers
• Controls Integration Engineers
• Manufacturing Application Developers
• Cloud Platform Engineers
• OT Cybersecurity Engineers

Domain and adoption:

• Plant Product Owners
• Operations and Process Engineers
• Quality and Reliability Leads
• EHS and Cybersecurity Partners
• Site Deployment and Training Leads

Evidence of:

• MES, SCADA, historian, PLC, OPC UA, MQTT or industrial IoT experience
• Edge to cloud architecture and streaming data integration
• Plant networking, segmentation and OT cybersecurity
• Integration with ERP, maintenance, quality and data platforms
• Repeatable rollout across several plants
• Results in downtime, quality, throughput, energy or labor efficiency
• Working safely inside live production
• Influence with plant managers, operators, IT and engineering

We did not force every candidate into an IT or OT box. We built a complementary team and looked for bridge people, the ones who can translate between plant engineering, enterprise architecture, data and security.

We also checked whether candidates had scaled past a single line or plant. Setting multi site standards and driving adoption was treated as core leadership work, not a nice to have.

Because this search crossed IT and OT, we used advisors from both. Plant and controls experts vetted the OT and MES candidates. Enterprise architects and security leaders vetted the cloud and cybersecurity hires. We sourced across our industrial automation, IoT and cloud communities, which let us find the rare bridge people who work in both worlds.

One coordinated team design across corporate IT and plant operations. Clear role boundaries cut down the usual fights between central standards and local plant ownership.

The manufacturer could build reusable architectures, rollout playbooks and site level champions. New smart factory projects got easier to scale because the company owned the integration knowledge and the change process.