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Executive Ai Strategy Jobs (NOW HIRING)

$140 - $210/hr

Position Overview Partner with executives at commercial enterprises and government agencies to develop AI strategies that drive measurable business outcomes. Assess organizational readiness, identify ...

This role will partner closely with senior executives, AI leaders and business stakeholders to identify strategic opportunities, drive cross-functional initiatives, establish governance and operating ...

This role will partner closely with senior executives, AI leaders and business stakeholders to identify strategic opportunities, drive cross-functional initiatives, establish governance and operating ...

This role will partner closely with senior executives, AI leaders and business stakeholders to identify strategic opportunities, drive cross-functional initiatives, establish governance and operating ...

AI Strategy Manager will lead the development of TravisMathew's AI strategy and roadmap ... Provide regular visibility to the Executive Team on the AI portfolio, risks, and value delivered ...

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Executive Ai Strategy information

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$26.5K

$93.6K

$184K

How much do executive ai strategy jobs pay per year?

As of Sep 7, 2026, the average yearly pay for executive ai strategy in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is an Executive AI Strategy role?

An Executive AI Strategy role involves leading the development and implementation of artificial intelligence strategies at an organizational or enterprise level. This executive oversees the integration of AI technologies to improve business outcomes, ensures alignment with company goals, and manages cross-functional teams to drive innovation. Responsibilities often include identifying opportunities for AI adoption, assessing risks, setting policies for ethical AI use, and staying updated with industry trends. The role requires a blend of technical knowledge, business acumen, and leadership skills to ensure successful AI transformation.

How does an Executive AI Strategy role typically collaborate with other departments within an organization?

An Executive AI Strategy professional frequently works cross-functionally, partnering with leaders in IT, data science, operations, and business units to align AI initiatives with organizational goals. Collaboration often includes translating complex AI concepts into actionable business strategies, overseeing pilot projects, and ensuring ethical and responsible AI deployment. These professionals also facilitate communication between technical teams and executive leadership to drive adoption and maximize the impact of AI investments. Regular meetings, workshops, and joint planning sessions are common to ensure alignment and successful project execution.

What are the key skills and qualifications needed to thrive as an Executive AI Strategist, and why are they important?

To thrive as an Executive AI Strategist, you need strong expertise in artificial intelligence, business strategy, and data analytics, typically supported by an advanced degree in a related field. Familiarity with AI platforms, data management systems, and certification in AI or machine learning frameworks (such as TensorFlow or AWS AI) is highly valuable. Exceptional leadership, strategic vision, and the ability to communicate complex technical concepts to non-technical stakeholders are essential soft skills. These capabilities ensure that organizations can effectively align AI initiatives with business objectives, driving innovation and competitive advantage.

What is the difference between Executive Ai Strategy vs Data Scientist?

AspectExecutive Ai StrategyData Scientist
Required CredentialsAdvanced degrees in AI, Business, or related fields; leadership experienceDegree in Computer Science, Data Science, or related fields; technical certifications
Work EnvironmentStrategic planning, cross-department collaboration, executive meetingsData analysis, model development, coding, and experimentation
Employer & Industry UsageTech companies, large enterprises, consulting firmsTech firms, finance, healthcare, research institutions

Executive Ai Strategy professionals focus on high-level AI implementation and strategic planning, working closely with leadership to align AI initiatives with business goals. Data Scientists, on the other hand, concentrate on technical data analysis, model building, and experimentation. While both roles require strong technical backgrounds, Executive Ai Strategy emphasizes leadership and strategic oversight, whereas Data Scientists focus on hands-on data work.

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$140 - $210/hr

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Medical, Vision, Retirement, PTO

Posted 6 days ago


Job description

AKIVA is an AI-native engineering firm specializing in enterprise services, domain-specific solutions, and high-performance infrastructure from strategy through deployment. We build innovative systems that drive measurable results for commercial enterprises and government agencies. AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB).

Position Overview

Partner with executives at commercial enterprises and government agencies to develop AI strategies that drive measurable business outcomes. Assess organizational readiness, identify high-impact use cases, and create actionable adoption roadmaps.

Key Responsibilities
  • Lead AI strategy engagements from discovery through roadmap delivery
  • Conduct AI maturity assessments and use-case prioritization workshops
  • Translate complex AI capabilities into executive-ready business cases
  • Partner with engineering to scope feasibility and total cost of ownership
  • Build trusted advisor relationships with C‑suite stakeholders
Required Qualifications
  • 5+ years in management consulting, AI strategy, or enterprise transformation
  • Deep working knowledge of modern AI capabilities (LLMs, agents, custom inference, RAG)
  • Proven ability to communicate technical concepts to non-technical executives
  • Experience leading multi-stakeholder engagements end-to-end
Preferred Qualifications
  • MBA, MS, or PhD in a relevant field
  • Prior consulting experience at a top-tier firm
  • Background in regulated industries (financial services, healthcare, public sector)
Tools, Technologies & Frameworks

Strategic frameworks, AI maturity models, business case modeling, executive workshops

What AKIVA Offers
  • Professional development and skill-building opportunities
  • Supportive management team with Veteran-owned company values
  • Opportunity to work on impactful client engagements
  • Long‑term contract engagement with potential for extension
  • AI productivity tools and training provided at no cost to employees
  • 401(k) with generous company match
  • Medical Insurance
  • Vision Insurance
  • Short-Term & Long-Term Disability Insurance
  • Paid Time Off (PTO)
  • Profit Sharing
Equal Employment Opportunity Statement

AKIVA is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical disability, marital status, military and Veteran status, or any other characteristic protected by applicable law. We believe that diversity among our teammates is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people within a qualified candidate pool.

AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB).

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