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CAASiTech Group · Houston, Texas, USA

CAASiTech Group — Program Manager — AI Strategy and Infrastructure

Program Manager — AI Strategy and Infrastructure · 2025 — Present

Technical Program Manager leading enterprise AI, cloud, and infrastructure programs with measurable PMO governance across distributed U.S. delivery environments. (2025 — Present).

Delivery classification

Program delivery · Operational leadership

Domain tags

experience-backed · enterprise

Capability tags

enterprise-delivery, current-role, Azure, Microsoft Dynamics 365, ServiceNow, AI / Copilot Studio

Operational environment

  • Technical Program Manager leading enterprise AI, cloud, and infrastructure programs with measurable PMO governance across distributed U.S. delivery environments.
  • Platforms and tools referenced for this engagement: Azure, Microsoft Dynamics 365, ServiceNow, AI / Copilot Studio.

Responsibilities & ownership

  • Led enterprise AI and infrastructure programs across distributed delivery environments, establishing PMO governance covering budget, risk, compliance, and executive performance tracking.
  • Directed cross-functional coordination across architecture, infrastructure, security, and applications teams, accelerating ERP, CRM, and platform integration readiness.
  • Implemented AI transformation workflows using Microsoft Copilot Studio and Azure-aligned infrastructure, reducing manual reporting cycles across program delivery cadence.
  • Delivered secure, scalable cloud-enabled environments integrated with Dynamics 365 and ServiceNow, aligning technical delivery to measurable business objectives.

Architecture & systems

  • Azure
  • Microsoft Dynamics 365
  • ServiceNow
  • AI / Copilot Studio

Technology stack

  • Azure
  • Microsoft Dynamics 365
  • ServiceNow
  • AI / Copilot Studio

Challenges

  • Enterprise programs spanning infrastructure, applications, integrations, and governance — with cross-functional dependencies and vendor coordination.
  • Balancing delivery velocity with security, compliance, and audit expectations typical of enterprise scale.

Solutions implemented

  • Led enterprise AI and infrastructure programs across distributed delivery environments, establishing PMO governance covering budget, risk, compliance, and executive performance tracking.
  • Directed cross-functional coordination across architecture, infrastructure, security, and applications teams, accelerating ERP, CRM, and platform integration readiness.
  • Implemented AI transformation workflows using Microsoft Copilot Studio and Azure-aligned infrastructure, reducing manual reporting cycles across program delivery cadence.
  • Delivered secure, scalable cloud-enabled environments integrated with Dynamics 365 and ServiceNow, aligning technical delivery to measurable business objectives.

Outcomes

  • Quantitative client outcomes for this initiative are reserved for qualified conversations; the narrative here reflects scoped intent, architecture, and delivery posture as documented in the portfolio source data.

Lessons learned

  • Structured governance (budget, risk, compliance, performance) scales only when telemetry and decision cadence match executive expectations.
  • Clear ownership across architecture, infrastructure, security, and applications reduces integration drag.

AI-ready metadata

Structured tags and classifications on this page mirror the knowledge object in data/case-studies.ts for future grounding pipelines — no claims beyond the sourced portfolio text.