AI Program Manager

Insight Global; Cincinnati (OH); On-site; USD 124,000 - 207,000; Full time

Job summary

Insight Global is seeking an experienced Technical Program Delivery Lead to drive cross-squad AI initiatives. You will own end-to-end delivery, align roadmaps, manage dependencies, surface risks, and ensure on-time outcomes across Product, Engineering, Data, and Platform.

This contract role requires fluency in AI concepts and collaboration with enablement and adoption teams. You will join initiatives already in flight and add value quickly, coordinating with other delivery leads where scope

Qualifications

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Responsibilities

• Take end-to-end delivery accountability for defined initiatives spanning multiple AI squads.
• Surface risks before delays and ensure on-time delivery of outcomes.
• Coordinate with Product, Engineering, Data, and Platform to turn strategy into sequenced plans.
• Align initiative roadmaps, manage dependencies, and practice disciplined execution.
• Collaborate with AI Enablement stakeholders and adoption teams to ensure landing with users.

Skills

Technical program delivery

Cross-squad coordination

Agile delivery (Scrum/Kanban)

AI tools in daily work

Agentic AI concepts

Communication across technical/non--

SDLC knowledge

Stakeholder collaboration

Education

Bachelor's degree or equivalent

Job description

Job Description

We are looking for an experienced technical program delivery lead to drive one or two cross-squad initiatives within our AI program. You will take end-to-end delivery accountability for a defined set of initiatives that span multiple AI squads and shared capabilities, covering initiative roadmap alignment, dependency management, risk identification, and execution discipline within that scope. This is a contract engagement on a fast-moving AI program, so you will join initiatives already in flight and be expected to add value quickly. Within your initiatives, you will work across Product, Engineering, Data, and Platform to turn strategy into well-sequenced plans, surface risks before they become delays, and support on-time delivery of outcomes. You will work just as closely with AI Enablement stakeholders and the teams adopting these AI capabilities, so what gets built lands with its intended users. You will also connect your initiatives into the wider program, coordinating with other delivery leads where scope, dependencies, or shared capabilities overlap. The work spans traditional software delivery and agentic AI capabilities and will need enough fluency in both to partner credibly with technical teams, without acting as an engineer or product owner.

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 [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 6+ years of experience in technical program delivery, program management, or delivery coordination within software-based teams.
• Track record of ramping quickly in unfamiliar enterprise environments and delivering with minimal onboarding support.
• Working knowledge of the SDLC, including planning, development, testing, and release.
• Experience in Agile delivery environments such as Scrum or Kanban, coordinating delivery across multiple squads contributing to a shared initiative.
• Familiarity with core product management concepts such as roadmaps, backlogs, prioritization, and trade-off discussions.
• Hands-on experience using AI tools in your daily work to improve productivity, decision-making, and delivery outcomes, with a clear point of view on where AI and AI agents can strengthen program execution, coordination, and risk management.
• Working fluency in agentic AI concepts and components, including agent skills, Model Context Protocol (MCP) and comparable tool and context standards, agent-to-agent (A2A) coordination, orchestration frameworks, retrieval and context management, and evaluation practices. You do not need to build these systems, but you should be able to follow the architecture, ask sharp questions, and plan around their real constraints.
• An understanding of what makes AI delivery different from traditional software delivery, including evaluation-driven release gates, model and prompt versioning, guardrails and responsible AI review, and planning around non-deterministic behavior.
• Clear communication with both technical and non-technical partners, comfort operating in ambiguity, and sound judgment about what to resolve within your initiatives and what to elevate.
• Experience partnering with enablement, adoption, or business stakeholders so that delivered capabilities are taken up, not just shipped.
• Bachelor's degree or equivalent experience.
• Experience supporting AI, data, or platform-based initiatives.
• Exposure to enterprise technology environments with shared services or enablement teams.
• Prior contract or consulting work partnering closely with Product Managers and Engineering Leads on complex, cross-team initiatives.
• Delivery experience on agentic or LLM-based products, such as multi-agent systems, tool-calling architectures, or AI copilots and assistants.
• Exposure to AI evaluation, observability, or responsible AI governance practices in an enterprise setting.