AI Strategy Analyst

Analyst

Remote

June 15, 2026

Application ends: September 13, 2026

Job Description

REQUIREMENTS

Must have working personal fluency with Claude (mandatory) and other enterprise AI tooling (Microsoft Copilot or equivalent); demonstrated ability to design and document hypothesis-driven experiments.
2–5 years of professional experience in program management, strategy operations, consulting, private equity, or transformation roles, with demonstrated experience running cross-functional projects to measurable outcomes.
Strong written communication; ability to produce CEO- and board-quality artifacts.
Comfort operating in ambiguity within a small, fast-moving team.

Preferred

Technical background (educational or professional) — computer science, engineering, data, or comparable hands-on experience with software, automation, or AI systems.
Exposure to voice AI, document automation, or contact-center modernization.
Prior experience in a PE-portfolio company or other high-growth, lean environment.

RESPONSIBILITIES

Experimentation portfolio — Run intake, hypothesis design, metric definition, and outcome documentation for AI experiments across Engineering, Client Delivery, and Corporate functions. Drive go/no-go reviews and graduation-to-production decisions.
Pilot management — Run end-to-end management of AI pilots across the portfolio. Own validation evidence, vendor coordination, integration readiness, and graduation decisions.
Adoption and management — Partner to drive org-wide training, communications, and enablement for Claude Enterprise and Microsoft Copilot. Move seat utilization from license to behavior. Produce the monthly AI scorecard: experiments launched, seats utilized, automation rates, FTE-equivalent savings, and experiments graduated.
Sandbox operations — Co-lead AI sandbox management with Engineering. Manage onboarding from initial cohort through expansion, including use-case intake, prioritization, and graduation criteria.
Internal AI optimization — Work with IT and internal stakeholders to manage, analyze, and optimize internal utilization of AI across the organization — identifying gaps, surfacing high-value use cases, and improving return on AI spend.
Vendor and budget management — Own day-to-day relationship management for AI tooling vendors and the sandbox platform. Track spend against the approved Opex plan and flag variances.
Strategy execution — Drive alignment and execution on strategic initiatives across the organization. Support corporate development and inorganic growth activities, board and investor materials, VCP reporting, and ad hoc strategic projects on the CSO’s agenda.