AI Strategy Enablement Lead

CAI,
$175,000 - $200,000Remote

About The Position

We are hiring an AI Strategy Enablement Lead to drive the hands-on execution of CAI’s enterprise AI transformation. This is a builder’s role. You will take the AI strategy set by executive leadership and make it operational — standing up the workstreams, running the cadence, producing the deliverables, and shepherding initiatives from concept through adoption across CAI’s core business functions. You will sit within CAI’s Strategy & Operations function and serve as the day-to-day execution engine for CAI’s AI strategy program. This work spans internal AI transformation across CAI’s business functions, AI-driven evolution of our go-to-market service lines, and the development of new AI-enabled offerings. You will own the execution mechanics — the roadmaps, the tracking, the artifacts, the follow-through — and ensure the program produces measurable outcomes rather than slide decks. This is a high-visibility individual-contributor role with significant autonomy over how the work gets done. You will partner closely with the AI Steering Committee, the AI Strategy Leadership team, and cross-functional stakeholders, orchestrating the cadence and surfacing the decisions, risks, and trade-offs that leadership needs to act on. You will pressure-test timelines, flag blockers early, and keep the transformation moving.

Requirements

  • 5+ years of experience in management consulting, enterprise transformation, or AI/digital strategy and delivery.
  • Demonstrated experience executing enterprise transformation or AI/digital initiatives hands-on — building roadmaps, running the cadence, and driving work through to adoption, not advisory only.
  • Working knowledge of the AI landscape: large language models, agentic AI, enterprise AI platforms, data strategy, and AI governance frameworks.
  • Strong project and program management skills, including roadmap and project-plan development, RAID management, and executive reporting.
  • Proven ability to operate in complex stakeholder environments up to the C-suite and senior VP level, coordinating competing priorities and navigating organizational resistance.
  • Ability to assess AI tools and technical approaches with informed judgment — technical enough to challenge assumptions, practical enough to prioritize what matters.
  • Exceptional written and verbal communication skills — able to facilitate workshops and produce high-quality, executive-ready deliverables.
  • Advanced proficiency with Microsoft Office, particularly PowerPoint, Excel, and Visio.
  • Bachelor’s degree required; MBA or advanced degree preferred.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Nice To Haves

  • Experience in public sector, state and local government, or government-adjacent industries.
  • Familiarity with government procurement dynamics, compliance frameworks (FedRAMP, GovRAMP), and the structural constraints of public sector AI adoption.
  • Experience with AI-driven workforce transformation, including change management, productivity measurement, and upskilling program design.
  • Hands-on familiarity with Anthropic’s Model Context Protocol (MCP), agentic AI frameworks, or enterprise AI orchestration platforms.
  • Transformation experience across procurement, sourcing (S2P), or related functions.
  • Track record of designing and piloting operating models, governance structures, and performance frameworks.

Responsibilities

  • Translate executive AI strategy into actionable roadmaps with clear milestones, owners, deliverables, and success criteria, then drive the work day to day
  • Own the execution mechanics of the enterprise AI program end to end — sequencing workstreams, managing interdependencies, and coordinating resources across business lines and corporate functions
  • Drive AI initiatives across enterprise functions from discovery and roadmap through deployment and adoption, producing measured outcomes that become transferable assets for CAI’s client-facing offerings
  • Build the executive-ready artifacts that move the program forward: roadmaps, business cases, use-case prioritization, status reporting, process workflows, and decision materials
  • Run the operating cadence of the AI program: schedule and prepare for working sessions and steering reviews, capture decisions and actions, and track commitments to closure
  • Prepare materials for the AI Steering Committee, facilitate working sessions, and surface decisions and blockers to leadership for resolution
  • Coordinate across the AI Steering Committee and AI Strategy Leadership to align execution with enterprise priorities
  • Surface resistance and organizational friction early, and escalate trade-offs and risk with clarity so leadership can decide and act
  • Support the design and implementation of target-state operating models for AI-enabled ways of working — spanning process, roles, governance, and performance measures
  • Identify where out-of-the-box AI solutions apply and where custom integration or workflow redesign is required, ensuring CAI avoids the trap of layering AI onto broken processes
  • Manage program risk through structured RAID tracking, and put light-weight controls in place to keep initiatives on track
  • Document processes, build playbooks, and educate internal teams on AI-enabled leading practices so capability sticks after each initiative closes
  • Maintain current, working knowledge of the enterprise AI landscape: LLMs, agentic frameworks, MCP architecture, AI governance standards, and emerging tools
  • Apply hands-on fluency with AI tools to accelerate analysis, automate routine work, and raise the quality and speed of program deliverables
  • Bring an informed, evidence-based perspective on what AI can and cannot do today to keep initiatives grounded and realistic
  • Ensure internal AI initiatives map to external go-to-market opportunities — internal transformation is the evidence base for CAI’s client-facing AI offerings.
  • Package internal AI results into reusable inputs for client-ready case studies, RFP content, and thought leadership in partnership with sales and marketing

Benefits

  • medical, dental, and vision insurance
  • 401k retirement account access
  • paid time off
  • paid sick leave
  • other paid time off as provided by applicable law
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