Enterprise Data Solutions Lead - AI/ERP

Our client, a provider of lighting control and energy management solutions is seeking an Enterprise Data Solutions Lead for this company of 650+ employees. This client delivers robust products that serve the electrical, pool and spa, HVAC/R, retail and OEM markets. This role will focus heavily to implement technical Artificial Intelligence (AI) solutions across the organization. To do this a deep understanding of the business, the processes, and the ERP system will be required. This role is based on Libertyville, IL, works a hybrid schedule, 3 days in office in Libertyville, IL and 2 days from home. The role pays in the $145K - $160K range, includes a 5% bonus and unlimited PTO with a strong benefit package.

The key to this role is past experience working with ERP related processes and systems AND implementation of AI solutions and technology. The incumbent will:

• Take full responsibility for leading the organization's AI, data, and business systems integration initiatives.
• Develop and maintain the framework that enables employees to securely access and leverage enterprise data across departments.
• Evaluates business requirements, identifies opportunities for automation and AI-enabled solutions, and develops recommendations for executive leadership.
• Works closely with business leaders, IT resources, and third-party partners to establish scalable data architecture, system integrations, and AI capabilities.
• Provides hands-on participation in design, implementation, and support of solutions
• Support other business critical applications such as the ERP system (Infor).
• Develop and maintain the organization's AI and enterprise data strategy.
• Identify opportunities to improve business processes, reporting, decision-making, and productivity through AI-enabled solutions.
• Develop recommendations and business cases for executive leadership regarding AI, data, analytics, and integration initiatives based on business requirements gathered.
• Design and maintain an enterprise data framework that supports reporting, analytics, automation, and AI applications.
• Develop standards for data governance, data quality, data accessibility, and security.
• Evaluate, select, and implement AI, analytics, and business intelligence tools.
• Identify requirements for the team and communicate with the manager.
• Develop integration strategies between ERP, manufacturing, CRM, and other business systems.
• Design solutions that enable data sharing between cloud-based and on-premise applications.
• Support integration of systems with limited or no API capabilities through middleware, data replication, file-based integration, or other appropriate technologies.
• Lead AI and data-related projects, including vendor coordination, implementation planning, testing, and deployment.
• Create and maintain enterprise data models, documentation, standards, and roadmaps.
• Monitor emerging AI and data technologies and recommend solutions that align with business objectives.
• Support training and adoption efforts for new AI, reporting, and data solutions.

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, or a related field (or equivalent experience)
• 7+ years of experience in enterprise applications, data architecture, business intelligence, systems integration, or related disciplines
• 5+ years experience working with ERP systems and business-critical applications
• 5+ years experience developing enterprise data solutions and integration strategies
• Strong understanding of AI technologies, analytics platforms, and enterprise data management principles
• Experience gathering business requirements and presenting recommendations to leadership
• Strong project management, documentation, and communication skills
• Experience integrating cloud and on-premise systems
• Experience with integration platforms such as Infor ION, Boomi, MuleSoft, Azure Integration Services, or similar technologies preferred
• Experience with Amazon Bedrock and Microsoft Solutions/Fabric
• Experience supporting manufacturing or multi-site business environments preferred