Overview
Design, develop, and validate digital EHSS solutions using analytics, automation, AI-enabled capabilities, intelligent workflows, and decision-support tools. Partner with business, data, IT, and technology teams to move validated solutions toward production deployment.
What you'll do
- Design and develop AI-enabled solutions, workflows, analytics capabilities, automation tools, and internal EHSS applications.
- Translate business requirements and operational processes into scalable technical solutions and prototypes.
- Build and integrate solutions using enterprise platforms, APIs, data assets, and approved technology services.
- Lead technical design, testing, validation, and pilot execution.
- Assess feasibility, scalability, risks, dependencies, and implementation approaches.
- Develop analytics and decision-support capabilities for operational visibility, risk management, and decision-making.
- Transition validated solutions into production deployment with partner teams.
What you'll need
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, or a related discipline.
- 7 or more years of experience in solution engineering, software development, analytics, automation, AI-enabled solutions, or related technical disciplines.
- Experience translating business and process requirements into scalable technical solutions.
- Hands-on experience designing, building, testing, and validating applications, automation solutions, analytics products, or AI-enabled capabilities.
- Experience developing prototypes, pilots, or minimum viable solutions.
- Experience with APIs, integrations, cloud platforms, or enterprise application technologies.
- Working knowledge of SQL, enterprise data platforms, cloud technologies, and analytics-ready data concepts.
Nice to have
- Experience with enterprise AI and automation platforms such as Microsoft Copilot Studio, Power Platform, Azure AI Services, or Azure OpenAI.
- Experience with Python, C#, .NET, or comparable application-development technologies.
- Experience with enterprise data and analytics platforms such as Snowflake, GCP, Azure Data Services, SQL Server, Power BI, or Tableau.
- Experience with SAP, ServiceNow, or other enterprise business systems.
- Experience supporting EHSS, Quality, Manufacturing, Facilities, Supply Chain, or other regulated functions.
- Relevant certifications in AI, cloud, software development, data analytics, or automation.
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