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AI Program Manager

Job in Houston, Harris County, Texas, 77246, USA
Listing for: 60 Insperity Services, L.P.
Full Time position
Listed on 2026-07-22
Job specializations:
  • IT/Tech
    AI Business & Operations, Change Management, IT Project Manager, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

We are seeking a talented AI Program Manager to join our team.

SUMMARY:

This position is responsible for driving Insperity’s AI capabilities by providing enterprise leadership, expertise, and delivery support for high‑impact AI solutions to employees, divisions, and clients. The role serves as the connective tissue between AI Strategy, ITS, and business partners—translating priority outcomes into an executable AI portfolio across the build, buy, and blend spectrum and ensuring the support mechanisms (governance, enablement, measurement, and adoption) are in place to drive quality and sustained impact.

Depending on evolving enterprise needs, this role may (1) support our proprietary Insperity AI Platform and agent ecosystem, (2) enable function‑specific tools and capabilities within divisions (including evaluation, selection, training, and deployment of licensed/point AI tools), and/or (3) help leverage AI embedded in existing SaaS platforms. The AI Program Manager partners closely with division stakeholders, ITS, Enterprise Analytics, Product Management, Legal, Info Sec, and external technology vendors to deliver integrated AI capabilities that improve productivity, efficiency, quality, user experience, and business value.

RESPONSIBILITIES
  • Drive AI program execution for an assigned business domain or enterprise priority area, translating business outcomes into scoped programs that span the build, buy, and blend spectrum and align with the enterprise AI portfolio managed by the AI Strategy team.
  • Design and run the intake, evaluation, and prioritization process for AI opportunities surfaced by business partners, applying structured frameworks and ensuring opportunities map to measurable outcomes, risk posture, and readiness.
  • Facilitate use case discovery and definition (workflow mapping, user research, requirements, and success metrics), partnering with SMEs to translate frontline needs into clear program deliverables and reusable patterns.
  • Depending on the initiative, may be responsible for end‑to‑end delivery coordination across design, technical development, testing, rollout, and optimization—ensuring appropriate artifacts, decisions, and stage gates are in place for reliable production deployment.
  • Partner with ITS, Enterprise Analytics, platform owners, and Product Management to deliver integrated AI solutions, including proprietary AI applications and agents, AI embedded in SaaS platforms, and licensed/point AI tools deployed within functions.
  • Champion agile, iterative delivery practices for AI programs, establishing an operating cadence with stakeholders and providing consistent reporting against roadmap commitments, dependencies, and risks.
  • Lead or support vendor and tool evaluation (requirements, due diligence, pilots, and selection) and work with Procurement, Legal, Info Sec, and IT to ensure contracts, controls, and support models are appropriate for the intended use.
  • Partner with Legal, Info Sec, IT, and AI governance bodies to ensure AI initiatives meet organizational policies, ethical guidelines, and regulatory requirements, and that appropriate controls and documentation exist for auditability and trust.
  • Maintain program documentation, including roadmaps, status updates, risk/issue logs, decision records, release plans, and adoption plans—ensuring transparency for business partners and AI Strategy leadership.
  • Lead change management, communication, and training efforts for users adopting AI capabilities, building AI literacy, establishing feedback loops, and supporting the broader culture of responsible AI adoption.
  • Support the health of the agent ecosystem and user experience by partnering on standards for agent behavior, guardrails, evaluation approaches, versioning/release practices, and consistent interaction patterns across channels and platforms.
  • Track program performance against agreed metrics (adoption, time saved, quality/error reduction, cycle‑time improvements, customer experience, risk reduction, and financial impact as applicable) and partner with Enterprise Analytics to mature measurement and value realization over time.
QUALIFICATIONS
  • Bachelor’s Degree or higher in business,…
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