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