AI Strategy Director
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IT/Tech
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Business
Job Description & How to Apply Below
Our client, a leading consulting organization, is seeking an AI Strategy Director to join their team in a direct-hire capacity. The AI Strategy Director will work directly with CIOs, CTOs, and business executives to identify high-value AI opportunities, establish practical AI governance frameworks, and develop actionable, investment-ready AI roadmaps. This individual will help clients evaluate business needs, assess technical capabilities and risks, prioritize AI initiatives, and translate strategic recommendations into executable implementation plans.
The ideal candidate combines strong business acumen, executive-level communication skills, AI governance expertise, and technical fluency. This person will lead client engagements, build trusted executive relationships, and help convert strategic advisory recommendations into funded implementation opportunities.
- Employment Type: Direct Hire
- Work Location: Remote, U.S.
- Travel: Less than 10% expected
- Partner with CIOs, CTOs, and business executives to identify, evaluate, and prioritize AI opportunities that address business challenges, improve operational efficiency, and deliver measurable value
- Lead executive workshops, discovery sessions, and strategic discussions to develop AI strategies, communicate recommendations, challenge assumptions, and drive alignment on business priorities
- Design and implement practical AI governance frameworks covering decision rights, policies, use‑case approvals, vendor assessments, risk classification, human oversight, monitoring, and accountability
- Develop prioritized, investment-ready AI roadmaps that account for business value, technical feasibility, data readiness, implementation costs, organizational adoption, dependencies, and risk
- Establish measurable success criteria and business outcomes for AI initiatives, including improvements in operational costs, cycle times, quality, productivity, customer experience, and revenue
- Lead client engagements from discovery and scoping through executive recommendations, project planning, and implementation handoff while managing scope, expectations, risks, and deliverable quality
- Identify follow‑on consulting and implementation opportunities, build long‑term executive relationships, and partner with product, software, data science, and AI engineering teams to advance client initiatives
- Strong experience in AI strategy, technology consulting, enterprise transformation, or executive advisory, with the ability to advise CIOs, CTOs, and senior business executives
- Proven ability to identify high‑value AI opportunities, develop strategic roadmaps, and translate complex technical concepts into measurable business outcomes and investment recommendations
- Demonstrated experience leading client‑facing consulting engagements, building executive relationships, facilitating workshops, managing project scope, and delivering strategic recommendations
- Working knowledge of AI governance, responsible AI practices, risk management, security, privacy, compliance, and organizational AI adoption
- Technical fluency across generative AI, agentic AI, traditional AI/ML, leading AI models, data readiness, enterprise integration, and AI implementation considerations
- Experience evaluating and prioritizing AI initiatives based on business value, cost, feasibility, risk, data maturity, and organizational readiness
- Strong business development and consulting delivery capabilities, including identifying follow‑on opportunities, scoping engagements, and translating advisory recommendations into implementation work
- Bachelor's degree in a relevant field or an equivalent combination of education, professional…
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