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Recruiting MES and Industrial Software Professionals

Manufacturers need specialists who can connect production operations with planning, quality, data and enterprise systems through reliable industrial software.

By LAK Consulting Group

Executive Summary

Manufacturing Execution Systems and related industrial software connect what happens on the factory floor with planning, quality, maintenance and enterprise decision-making. Manufacturers use these platforms to improve traceability, standardise workflows, understand production performance and coordinate increasingly complex operations.

Successful implementation depends on professionals who understand both software and manufacturing. They must translate production requirements into system architecture, integrate operational and enterprise technologies, manage data and guide users through process change. The relevant talent includes MES consultants, solution architects, developers, integration specialists, project managers, product professionals and technically credible commercial teams.

Recruitment is difficult because these capabilities sit between established disciplines. Conventional software professionals may lack experience of production environments, while automation engineers may not have the enterprise integration or application-development background required by modern platforms. Employers that define the real manufacturing problem, assess transferable capability and provide structured domain onboarding will be better positioned to build the teams needed for sustainable industrial digitalisation.

Introduction

Manufacturers generate information across machines, production lines, quality processes, maintenance activities and material movements. The value of this information depends on whether it can support timely and reliable decisions. MES and industrial software provide the operational layer that helps organisations coordinate manufacturing work and connect it with wider business systems.

The technology is important, but implementation is rarely a simple software installation. Production processes differ between sites, equipment varies in age and architecture, and existing data may be inconsistent. Systems must support operators and engineers without introducing unnecessary complexity or disrupting output.

This makes industrial software a multidisciplinary field. Teams need to understand automation, applications, data, interfaces, infrastructure and the operational reality of manufacturing. They also need to manage stakeholders whose priorities range from daily production and quality to enterprise planning and cybersecurity.

MES capability creates value only when organisations have people who can connect software architecture with the practical realities of manufacturing operations.

Why Manufacturers Invest in MES

Manufacturing organisations often begin digitalisation with a specific operational problem. They may need better production visibility, stronger traceability, more consistent work instructions or a reliable connection between planning and execution. Other programmes aim to standardise processes across several plants or replace fragmented legacy applications.

MES can support these objectives by providing structure around orders, materials, equipment, quality and labour. It can collect information from production systems, present relevant instructions and return accurate status to enterprise platforms. The result should be a clearer understanding of what was produced, under which conditions and with which resources.

Value depends on process design. Automating an unclear or inconsistent workflow can reproduce its weaknesses in software. Implementation teams must therefore understand why the process exists, which decisions need support and where standardisation is appropriate.

The strongest professionals do not treat MES as an isolated technology layer. They consider how it interacts with planning, automation, quality, maintenance, warehousing and reporting. This system perspective reduces duplication and helps organisations avoid creating another disconnected application.

The Roles Behind Industrial Software Delivery

MES programmes require several capabilities, although smaller organisations may combine them within broader positions. Clear role design helps employers avoid expecting one person to own every part of a complex deployment.

  • Solution architects define the application, data and integration structure across manufacturing and enterprise systems.
  • MES consultants translate operational processes into configured workflows and functional requirements.
  • Software developers create extensions, interfaces and applications where standard capability is insufficient.
  • Integration specialists connect MES with PLC, SCADA, ERP, quality, maintenance and warehouse systems.
  • Data engineers establish reliable models, pipelines and contextual information for reporting and analysis.
  • Project and programme managers coordinate sites, vendors, validation, change and deployment.
  • Product owners prioritise requirements and maintain alignment between users, technology teams and business objectives.
  • Technical sales and presales professionals connect customer challenges with a feasible solution and delivery model.

The required team depends on whether the organisation is a manufacturer, software vendor, system integrator or consultancy. An end user may need product ownership and architecture capability to govern external partners. A vendor needs product, application and customer-success professionals. An integrator requires consultants and delivery specialists able to adapt platforms to different production environments.

These distinctions should be visible in recruitment. A platform configuration consultant is not automatically a software architect, and a strong developer may not be comfortable leading operational workshops. Titles often conceal these differences.

The Scarcity at the Intersection of IT and OT

Industrial software sits between information technology and operational technology. IT teams bring knowledge of enterprise architecture, security, software delivery and infrastructure. OT teams understand machines, controls, safety, uptime and production constraints. MES professionals need to work credibly with both.

This intersection is a persistent source of recruitment difficulty. Software candidates may be unfamiliar with environments where changes must be scheduled around production and where a failed deployment can affect physical output. Automation specialists may understand controllers and process behaviour but have less exposure to enterprise data models, modern development practices or large application portfolios.

The objective is not to find a person who is equally expert in every domain. It is to identify roles that need bridging capability and build teams in which specialists collaborate effectively. A solution architect may require broad understanding across both environments, while a developer can operate with deeper software expertise supported by strong manufacturing context.

Recruitment assessment should examine how candidates manage boundaries. Can they explain a software dependency to a production leader? Do they understand why an automation team resists an unscheduled change? Can they challenge a technical preference when it does not support the operational outcome?

Manufacturing Knowledge Is Essential

MES is shaped by the production process. Discrete assembly, batch production, continuous processing and highly regulated manufacturing have different operational needs. Even within one sector, plants may vary in automation, product mix and working practices.

Professionals need to understand concepts such as work orders, routings, bills of material, recipes, genealogy, quality holds, rework and equipment status in the context of the customer's operation. They should recognise which information must be captured automatically, which depends on user interaction and how exceptions are handled.

This knowledge allows teams to ask better questions. A requirement to “track downtime” is incomplete until the organisation defines what constitutes a stop, how causes are recorded and which decisions the data should support. A traceability objective needs clarity about materials, process conditions and retention.

Candidates from manufacturing engineering, process improvement or automation can bring strong domain understanding into industrial software roles. They may require additional development in application architecture or data, but their operational insight is valuable. Employers should consider these transitions rather than recruiting only from existing MES vendors.

Integration Determines Practical Value

MES rarely creates value on its own. It needs information from enterprise planning, machines, quality systems, maintenance applications and other sources. It also needs to return reliable production status and records. Integration is therefore central to architecture and delivery.

The technical challenge includes different data models, communication methods and ownership boundaries. Older equipment may provide limited connectivity, while newer systems generate large quantities of data that still need operational context. Interfaces must be reliable and support recovery when one system is unavailable.

Integration specialists need both technical capability and process understanding. They must know which system should own particular information and what happens when data arrives late or conflicts. A working interface in a test environment is not sufficient if it cannot support production conditions.

The connection with controls is particularly important. MES teams need a realistic understanding of PLC and SCADA architecture, while automation teams need clarity about which responsibilities belong at the execution layer. Our article on hiring PLC and SCADA specialists in Europe examines the related market for operational automation talent.

Standardisation Versus Site Reality

Multi-site manufacturers often want a common MES platform and standard processes. Standardisation can reduce support complexity, improve comparability and make future deployment more efficient. It can also fail when corporate templates ignore genuine operational differences.

Experienced professionals distinguish between variation that creates value and variation that reflects history or local preference. They work with sites to understand constraints while maintaining discipline around core architecture and data definitions.

This requires influence as well as technical expertise. Plant teams may be cautious about a central programme that appears to impose new work without understanding production. Corporate leaders may underestimate the effort required for local preparation and data quality. MES professionals need to translate between these perspectives.

Recruitment for global rollout roles should examine experience beyond a single implementation. Candidates need to understand template governance, localisation, deployment sequencing and the transfer of learning between sites. They should also recognise when a technically consistent solution needs different change support in each location.

Project Leadership and Change Management

MES programmes affect how people plan, record and manage production. Operators may receive new instructions, supervisors gain different visibility and quality processes become more structured. The technology therefore changes daily work even when the strategic objective is framed around data.

Project leaders need to coordinate software delivery with process design, testing, training and operational readiness. They should understand production constraints and create deployment plans that protect output. They also need clear routes for resolving decisions that cross business and technical ownership.

Change management should not be separated from the implementation team. User concerns frequently reveal process or design issues rather than simple resistance. Professionals who engage operators and supervisors early can identify practical problems before go-live.

Strong project candidates have evidence of delivering into live operations, not only managing conventional enterprise-software schedules. They understand cutover, contingency and the support intensity required after deployment. Their judgement influences whether a technically complete system becomes an adopted operational tool.

Product Owners and Internal Capability

Manufacturers often use vendors and integrators for specialist delivery, but they still need internal ownership. A capable product owner maintains the connection between manufacturing priorities, platform decisions and the external delivery team. Without this role, partners receive inconsistent requirements and the organisation becomes dependent on individuals outside the business.

Product ownership requires authority to prioritise. Site requests, technical debt, upgrades and new functionality compete for limited capacity. The product owner needs to evaluate value and risk rather than treating every request as equally urgent.

The role benefits from manufacturing credibility and enough technical understanding to challenge proposed solutions. It also requires communication with senior stakeholders who expect evidence of operational benefit. Candidates may come from production, process improvement, IT or prior MES delivery, but the onboarding plan should address whichever side of the role is less developed.

Internal architecture and support capability are equally important. Organisations should know which knowledge must remain in-house and which can be obtained from partners. This decision affects recruitment, vendor management and long-term cost.

Industrial Software Development and Data Skills

Industrial software teams increasingly use modern development, integration and data practices. They may build web applications, services, analytics and interfaces alongside configured platform capability. Candidates with conventional software backgrounds can contribute strongly when they understand operational constraints.

Reliability and maintainability should guide custom development. A solution created quickly for one plant can become difficult to support across a network. Developers need architectural standards, testing environments and clear ownership of deployment and updates.

Data professionals face a related challenge. Manufacturing data becomes useful when it is contextualised by product, process, equipment and time. A large volume of signals does not automatically provide insight. Data engineers and analysts need access to domain specialists who can explain what the information represents.

Recruitment should therefore avoid positioning industrial software as a purely digital environment detached from operations. Strong candidates are often attracted by the opportunity to see their work affect physical production, but they need realistic information about legacy systems, site access and deployment practices.

Cybersecurity and Controlled Change

Connected manufacturing systems expand the number of interfaces between operational and enterprise environments. Security, identity, access and software maintenance must be considered throughout architecture and delivery. MES professionals need to work with cybersecurity specialists and understand how security requirements affect practical operation.

The challenge is not solved by applying enterprise controls without adaptation. Production systems may operate continuously, contain equipment with long lifecycles and require carefully planned changes. Security measures need to address risk while respecting these constraints.

Recruitment for architecture and leadership positions should examine whether candidates have worked within controlled industrial environments. They should understand segregation, access governance, patch planning, backup and recovery at a level appropriate to their role.

Clear ownership matters because suppliers, integrators, IT and plant teams may each assume that another group is responsible. Experienced leaders make these boundaries explicit and ensure that operational support is included in the design.

Technical Sales and Solution Consulting

MES sales requires an understanding of manufacturing problems and the ability to define a realistic solution. Customers may describe broad objectives such as visibility, paperless production or digital transformation. Presales professionals need to identify the processes, systems and organisational changes behind those objectives.

Strong solution consultants ask detailed questions before demonstrating technology. They understand that a visually impressive interface does not resolve weak master data or unclear process ownership. Their credibility helps customers define a programme that the delivery organisation can support.

Commercial discipline is essential because MES projects can expand through integration and customisation. Sales teams need to involve delivery experts, define assumptions and maintain clarity around scope. Winning an underqualified project creates pressure on consultants and can damage the customer relationship.

Candidates should be assessed for both manufacturing understanding and opportunity judgement. Experience selling general enterprise software may transfer where the person has worked with complex operations, but industrial onboarding is necessary. Application or consulting professionals can also transition into presales if they develop negotiation and account skills.

Recruiting From Adjacent Talent Pools

The most productive adjacent markets depend on the role. Automation engineers can move towards MES integration or solution architecture. Manufacturing and process engineers can develop into consultants or product owners. Enterprise application professionals may transition into integration, programme or commercial roles with sufficient factory exposure.

Software developers and data engineers can also enter industrial technology when the organisation provides domain context and experienced leadership. Their modern technical practices may strengthen teams that have relied heavily on platform-specific configuration.

Assessment should focus on transferable problems. Has the candidate connected systems with different ownership and data models? Have they delivered changes into an operational environment? Can they work with users whose priority is production rather than software?

Adjacent hiring should be deliberate. Employers need to define the knowledge gap, create structured onboarding and ensure that new employees have access to plants and operational experts. Simply relabelling a general software role as industrial will not create manufacturing capability.

Retaining MES and Industrial Software Expertise

Experienced industrial software professionals accumulate knowledge of platforms, integrations, site processes and organisational decisions. Losing them can affect both current support and future rollout. Retention is therefore connected to system resilience.

Technical career paths matter because specialists may want greater architectural influence without moving into people management. Principal consultant, solution architect and product-lead positions can recognise depth while providing progression.

Work quality is equally important. Professionals become frustrated when every project is urgent, environments are inconsistent or technical debt is repeatedly deferred. Leadership that invests in architecture, documentation and realistic delivery creates a stronger employer proposition.

Access to modern methods and meaningful operational outcomes can make industrial software attractive. Employees should see how their work improves production rather than being isolated within a backlog of disconnected requests. Collaboration with engineering and plant teams supports that sense of impact.

Executive Perspective

MES and industrial software are central to industrial automation and digitalisation, but technology selection alone does not create operational value. Organisations need professionals who can connect architecture, process and change across the full manufacturing environment.

Leadership teams should decide which capabilities are strategic and should remain internal. Product ownership, architecture, data definitions and vendor governance often require organisational knowledge that cannot be delegated completely. External partners can add scale and specialist expertise, but they need a capable customer team.

Workforce planning should reflect the rollout roadmap. If several plants will deploy in sequence, the organisation needs enough senior people to support the next site while stabilising the previous one. Reusing exhausted specialists creates delays and retention risk.

LAK Consulting Group supports industrial software organisations and manufacturers through technical talent acquisition, business-critical talent acquisition and targeted talent mapping. Market evidence can help leaders decide whether a proposed combination of platform, manufacturing and leadership experience is realistically available.

Conclusion

MES and industrial software connect production activity with the information and processes required to manage modern manufacturing. Their value depends on more than software functionality. It depends on people who understand operations, architecture, integration and organisational change.

Recruiting these professionals is difficult because the strongest capability exists at the intersection of IT and OT. Employers can improve access by defining roles accurately, recruiting from adjacent disciplines and providing structured manufacturing or software development where needed.

Organisations that build internal ownership alongside external delivery capability will be better positioned to scale platforms, protect knowledge and achieve sustainable operational value. Companies planning MES or industrial-software appointments can contact LAK Consulting Group to discuss the relevant candidate market and recruitment strategy.

Frequently Asked Questions

Why are MES professionals difficult to recruit?

The roles require a combination of manufacturing-process knowledge, software understanding, integration capability and experience delivering change into live production environments.

Which roles are needed for an MES implementation?

Typical requirements include solution architecture, consulting, development, integration, data, project management, product ownership and operational change. The exact team depends on the platform and delivery model.

Can automation engineers transition into MES roles?

Yes. Their understanding of machines, controls and production is valuable, particularly in integration and solution roles. They may need development in enterprise applications, data architecture or software practices.

Why does a manufacturer need internal MES capability when using an integrator?

Internal product and architecture ownership preserves business priorities, governs partners and retains knowledge needed for support and future rollout. External delivery is strongest when the customer remains an informed owner.

How can companies retain industrial software specialists?

Credible technical career paths, investment in architecture, realistic delivery planning, access to modern practices and visible operational impact all support retention.

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