AI Solutions and Delivery Lead
Gexpro Services · Irving, TX · 2 wk ago
ManufacturingFull-time
AI Solutions and Delivery Lead
The AI Solutions and Delivery Lead serves as a strategic and execution-focused partner to business leaders, identifying and delivering applied AI solutions that improve operational performance, decision-making, and productivity. This role works cross-functionally to translate business challenges into AI-enabled solutions and leads initiatives from concept through deployment and adoption. The position requires a balance of strategic thinking, hands-on execution, and change leadership to drive measurable business outcomes and embed AI into core workflows across the organization.
Responsibilities
- Identify, scope, and prioritize AI use cases aligned to business value and strategic objectives.
- Lead end-to-end delivery of AI initiatives, from concept through pilot and scaled deployment.
- Translate operational pain points into AI-enabled workflows, copilots, automations, and decision-support tools.
- Partner with IT, vendors, and business stakeholders to integrate AI solutions into existing systems (i.e. Microsoft 365, ERP platforms).
- Support development of AI use cases, including Microsoft 365 Copilot, internal agents and ERP-adjacent solutions.
- Drive process simplification & continuous improvement projects with a focus on EBITDA and working capital impact.
- Work with field leadership to identify and execute process gaps and simplification opportunities. Define plans to deliver change in 1-3 month increments, using agile methodologies to delivery incremental improvements in quick time periods.
- Drive strategic initiatives aimed at improving business KPIs through defining the issue, analyzing and prioritizing root causes, making improvements, and verifying results. Examples include, but not limited to:
- Faster, simpler, more accurate order entry in QAD by utilizing data uploads and automation enhancements.
- Improve branch efficiency by preventing vendor PO Variances and customer invoicing disputes.
- Drive implementation of efficiency tools like Smartsheet, MS Teams, etc.
- Warehouse space and throughput optimization
- Digital and mechanical automation
- Gain the “hearts and minds” of employees globally to change the way they work and improve the top/bottom line and customer service.
- Utilize technical tools (Python, SQL, etc.) to streamline processes and gain productivity.
- Engage and collaborate with customers, suppliers, field leaders, and executives on right course of action to solve business problems and meet objectives.
- Influence the functional support / branch teams to change the way they work to better service customers and partner with suppliers.
- Gather data on existing process, where the top problems are, and show improvement results after positive changes are made.
Required Skills
- Experience leading at least one AI/ML/LLM-enabled project from concept through deployment with measurable business outcomes
- Strong project and program management capabilities
- Proven ability to translate ambiguous business problems into actionable solutions
- Experience working cross functionally within the business and with external partners
- Process improvement mindset
- Comfortable with data, analytics, and solution design
- Experience driving change management and user adoption
- Executive-ready communication and presentation skills
- Working knowledge of enterprise systems (Microsoft 365, ERPs, etc.)
- Minimum of three years of experience in project management, process improvement or related roles
- Analytical, effective problem solver, solution oriented
- Team oriented with a hands-on leadership style
- Proficiency with data tools such as SQL; familiarity with Python preferred
- Understanding of Robotic Process Automation
Desired Skills
- Experience in distribution, supply chain, or manufacturing environments
- Background in IT, data, or analytics-related fields
- Lean, Six Sigma or continuous improvement certification
- Experience with Microsoft Foundry
- Experience with AI/ML tools and frameworks (PyTorch, Tensor Flow, Pandas)
- Experience with Power BI and Power Query/M
- Bachelor’s degree, preferred