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AI Strategist

United States · Hybrid

Professional Servicesai_strategy$140k – $280k

Axial Search builds long-term talent networks for AI, data, and transformation leaders across the United States, and applying for this role indicates your interest in positions like this one as your next move. This particular position isn't tied to a specific client today, but we actively place people with your background — apply and we'll be in touch when a matching role opens with one of our clients. In the meantime, please make use of our free tools to help with your job search, including our live job market dashboard with salary, skills, and hiring-trend data from thousands of AI transformation roles.

Job market data

AI strategy remains one of the clearest growth lanes in senior hiring — over 6,000 US roles tracked in the past year, split between in-house strategy functions at enterprises and embedded consultants at professional-services firms. Mid-senior compensation generally lands in a $140K–$250K band, with directors clearing $280K and executive-level strategy hires regularly breaking $300K. The strongest AI strategists we place combine technical fluency, commercial judgment, and the credibility to operate directly with the C-suite.

Key responsibilities

  • Partner with senior business leaders to identify, prioritize, and shape high-impact AI opportunities

  • Translate organizational strategy into concrete AI use cases, roadmaps, and investment plans

  • Lead AI maturity assessments, value-case development, and executive workshops

  • Work across functions — data, product, engineering, finance — to stress-test ideas before major commitment

  • Shape the long-term AI operating model, including governance, talent, and delivery structure

  • Bring external benchmarks, patterns, and honest perspective to internal decisions

  • Challenge bad ideas early — and build consensus around the right ones

  • Operate as a trusted advisor to the CEO, CIO, and business-line leadership

Candidate requirements

  • 6+ years in strategy, management consulting, or in-house AI program leadership

  • Demonstrated ability to connect AI capability to business outcomes, not just pilots

  • Fluency in modern AI concepts — generative AI, agents, MLOps — without needing to be an engineer

  • Strong financial modeling, use-case prioritization, and executive storytelling skills

  • Track record of influencing C-level stakeholders on transformation decisions

  • MBA or equivalent experience preferred but not required