AI Delivery Lead

Insight Global is looking for an AI Delivery Leader to drive the successful execution of enterprise AI initiatives from discovery and prioritization through deployment and adoption. This person will partner closely with business stakeholders, enterprise architecture, engineering, security, infrastructure, and data science teams to identify high-value AI opportunities, develop delivery roadmaps, manage program execution, and ensure measurable business outcomes. They will help shape AI strategy, establish governance processes, prioritize initiatives, communicate progress to leadership, and ensure AI investments drive operational efficiency and quality improvements across the organization.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:


Required Skills & Experience
• 6+ years of experience leading AI initiatives
• Demonstrated experience delivering enterprise-scale AI/ML solutions from ideation through production deployment
• Ability to communicate complex AI concepts and technical solutions to non-technical business stakeholders
• Proven success leading cross-functional teams across business, engineering, security, infrastructure, and data science organizations
• Experience managing priorities, risks, dependencies, budgets, and stakeholder expectations
• Experience with cloud-based AI platforms in AWS and/or Azure
• Highly organized and structured approach to delivery and execution
• Strong leadership, strategic thinking, and roadmap development experience
• Ability to operate effectively in ambiguous environments and drive results


Nice to Have Skills & Experience
• Manufacturing industry experience
• Experience helping define enterprise AI strategy and governance frameworks
• Familiarity with Microsoft Copilot and Generative AI enablement initiatives
• Understanding of AI/ML development lifecycles and experimentation processes
• Knowledge of AI architecture, model deployment patterns, and production AI environments
• Experience assessing AI use cases and determining business value opportunities
• Responsible AI knowledge including explainability, governance, and risk mitigation
• Experience driving operational efficiency or quality improvement initiatives through AI solutions


Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.