**A RESUME IS REQUIRED TO APPLY FOR THIS POSITION
Position Summary
The NASHE DX Specialist serves as a subject-matter expert in the design, development, and application of digital technologies for SHE management across North America. The role combines manufacturing and shop-floor safety knowledge with expertise in data architecture, analytics, Microsoft Power Platform, workflow automation, and responsible AI. It converts complex SHE and operational requirements into scalable digital products, integrated data structures, dashboards, and risk-visualization tools that improve One-NA visibility and enable proactive risk reduction. Working hands-on with NASHE, site SHE teams, technical functions, and global partners, the specialist provides technical analysis, solution design, configuration, validation, documentation, and deployment support throughout the solution lifecycle.
Key Responsibilities
Apply specialist knowledge to define technical requirements and solution architecture for the NASHE SHE DX/AI roadmap, consistent with North America SHE priorities, manufacturing needs, and global standards
Research and assess digital and AI applications for industrial safety, evaluate technical feasibility and risk-reduction value, and produce recommendations for North America deployment
Design, configure, test, deploy, and maintain digital SHE applications using Power Apps, Power BI, Power Automate, Dataverse, analytics, AI, and related technologies
Engineer integrated data models for incidents, equipment specifications and locations, asset records, inspections, risk assessments, and corrective actions
Develop analytical dashboards and digital risk maps to identify incident patterns, equipment-related exposure, inspection gaps, risk-assessment status, and overdue corrective actions
Define data standards, validation rules, access controls, metadata, ownership requirements, and update logic to maintain reliable and traceable SHE data
Perform technical development and integration for priority applications, including AI camera solutions, digital risk assessments, QR-enabled inspections, VR tools, and workflow automation
Translate shop-floor processes, equipment hazards, user needs, and compliance requirements into functional specifications, process logic, data structures, and test criteria
Conduct proof-of-concept development, system configuration, verification, user acceptance testing, troubleshooting, documentation, and post-deployment optimization
Provide technical consultation to NAPIC/PIC, ITDX/ITDC, DNJP, Operations, cybersecurity, legal, and data-governance functions to ensure solution compatibility, security, and compliance
Create technical standards, user guidance, training materials, and reusable solution components to support consistent deployment and sustained use across North America
Qualifications
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Environmental Health & Safety, or a related technical field
3+ years of hands-on experience in manufacturing, industrial technology, SHE/EHS systems, manufacturing engineering, equipment engineering, maintenance, quality, or digital process improvement
Demonstrated experience in solution development, data integration, data modeling, visualization, governance, testing, and application lifecycle support
Technical understanding of shop-floor processes, equipment hazards, operator workflows, and manufacturing constraints, with the ability to convert them into effective digital solutions
Strong analytical, troubleshooting, requirements-definition, technical documentation, and cross-functional communication skills
Preferred Qualifications
Hands-on experience developing or supporting digital solutions in a manufacturing plant, preferably for SHE/EHS, manufacturing engineering, production engineering, equipment engineering, maintenance, quality, or operational excellence
Working knowledge of incident management, equipment risk assessment, inspections, corrective actions, audits, and control verification
Applied experience with machine learning, computer vision, digital mapping, QR-enabled workflows, advanced analytics, or AI-assisted process improvement
Advanced hands-on capability with Microsoft Power Platform, including Power Apps, Power BI, Power Automate, and Dataverse
Experience with databases, APIs, system interfaces, data security, application testing, version control, or structured solution documentation
Relevant technical certification in Microsoft Power Platform, data analytics, AI, software development, manufacturing systems, or SHE/EHS
Core Competencies
Manufacturing systems, equipment, and shop-floor risk expertise
Digital solution architecture, configuration, and lifecycle support
Data modeling, integration, governance, analytics, and risk visualization
Power Platform development and workflow automation
Responsible AI, computer vision, and emerging-technology assessment
Requirements engineering, testing, troubleshooting, and technical documentation
Structured problem-solving, technical ownership, and continuous improvement
- Define technical requirements and solution architecture for the NASHE SHE DX/AI roadmap aligned with North America safety priorities and global standards.
- Research, assess, and recommend digital and AI technologies for industrial safety, evaluating feasibility and risk‑reduction value.
- Design, configure, test, deploy, and maintain Power Platform solutions (Power Apps, Power BI, Power Automate, Dataverse) and related analytics/AI components.
- Engineer integrated data models for incidents, equipment, inspections, risk assessments, and corrective actions.
- Create analytical dashboards and digital risk maps to highlight incident patterns, equipment exposure, inspection gaps, and overdue actions.
- Establish data standards, validation rules, access controls, metadata, and ownership requirements to ensure reliable SHE data.
- Develop and integrate priority applications such as AI‑enabled cameras, QR‑based inspections, VR tools, and workflow automation.
- Translate shop‑floor processes, hazards, and compliance needs into functional specifications, process logic, and test criteria.
- Conduct proof‑of‑concept development, user acceptance testing, troubleshooting, documentation, and post‑deployment optimization.
- Provide technical consultation to IT, cybersecurity, legal, data‑governance, and operational teams to ensure solution compatibility, security, and compliance.
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, EHS, or a related technical field.
- 3+ years of hands‑on experience in manufacturing, industrial technology, SHE/EHS systems, or digital process improvement.
- Proven experience developing, integrating, and supporting data models, visualizations, and application lifecycles.
- Strong understanding of shop‑floor processes, equipment hazards, and manufacturing constraints.
- Advanced proficiency with Microsoft Power Platform (Power Apps, Power BI, Power Automate, Dataverse).
- Experience with databases, APIs, data security, version control, and structured technical documentation.
- Demonstrated ability to translate complex requirements into functional specifications and test criteria.
- Preferred: Experience with AI/ML, computer vision, QR‑enabled workflows, or VR tools in a manufacturing environment.
- Preferred: Relevant certifications in Microsoft Power Platform, data analytics, AI, or SHE/EHS.
- Excellent analytical, troubleshooting, and cross‑functional communication skills.