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Executive Ai Strategy Jobs (NOW HIRING)

$180 - $260/hr

advising executive stakeholders , Agentic AI , AI/ML solution architecture , AWS , Gen AI , multi-year technical strategy , predictive modeling Bay6.ai is an innovative company at the forefront of AI ...

New

We're hiring a Senior Director of AI Strategy to lead AI value creation across our most strategic ... Expect travel to customers as needed to build executive relationships and ensure results. What You ...

AI Strategy Consultant

San Francisco, CA · On-site

$170 - $200/hr

About The Role At its core, the AI Strategy Consultant role centers around driving marketing ... executives, marketers, and IT stakeholders * Run design sessions with customers to decide on and ...

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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 Aug 15, 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 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.

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.

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 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.
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Director, AI Strategy & Execution

RELX

Boca Raton, FL

Full-time

Posted 3 days ago

New


Job description

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk athttps://risk.lexisnexis.com/

About the Role

We are seeking a visionary, results-oriented AI Strategy & Execution Leader to accelerate the adoption and business impact of Artificial Intelligence across the Product Delivery and Consulting and broader Global Consulting and Operations organization. This leader will be responsible for defining and driving our AI strategy, managing a portfolio of AI initiatives, and ensuring successful execution, value realization, and disciplined tracking of measurable results across business functions.

The ideal candidate is both strategic and operational. They can identify transformative opportunities, align stakeholders around a common vision, and drive execution through complex, matrixed environments. They possess the ability to connect business objectives with emerging AI capabilities, transforming innovative ideas into practical, scalable solutions that deliver measurable outcomes.

In addition to overseeing AI strategy and delivery, this leader will champion enterprise AI adoption through training, communications, change management, and employee engagement programs. They will lead our GCO Team Effectiveness Challenge, creating a culture of innovation while establishing mechanisms to capture, evaluate, prioritize, and scale AI-driven opportunities across the organization.

This role requires exceptional collaboration, communication, and influence skills, as well as a passion for continuous improvement, operational excellence, and business transformation through AI.

Preferred candidate is local to the following offices for occasional in-person meetings: Alpharetta, GA, Dayton, OH, Boca Raton, FL

Responsibilities

  • Define and maintain the AI strategy, roadmap, and enterprise priorities.
  • Lead and govern the PDC AI portfolio from idea intake through execution, adoption, and scale.
  • Drive team effectiveness, AI adoption, training, communications, and champion engagement across the organization.
  • Influence cross-functional leaders and stakeholders to align priorities, remove barriers, and deliver outcomes.
  • Track measurable results, adoption, productivity gains, efficiency improvements, and ROI.
  • Create executive-ready communications, thought leadership, and progress narratives that demonstrate value.

Experience Level: Senior Leader with a passion for driving change and progress
Requirements

  • Bachelor's degree in Business, Technology, Data Science, Engineering, Organizational Leadership, or a related field.
  • 8+ years of experience in strategy, transformation, program leadership, management consulting, product management, organizational effectiveness, or related disciplines.
  • 2+ years of experience leading enterprise-wide initiatives involving AI, automation, advanced analytics, digital transformation, or emerging technologies.
  • Demonstrated success driving large-scale, cross-functional programs within highly matrixed organizations.
  • Proven ability to influence stakeholders and achieve outcomes without direct authority.
  • Experience developing enterprise strategies, roadmaps, governance models, and execution frameworks.
  • Strong program and portfolio management experience, including prioritization, resource management, risk management, and executive reporting.
  • Exceptional written, verbal, and presentation communication skills.
  • Experience developing executive communications, strategic documentation, and business narratives.
  • Strong analytical and problem-solving abilities with experience measuring business outcomes and ROI.
  • Experience leading organizational change management and adoption initiatives.

Preferred Qualifications

  • Experience building and leading enterprise AI adoption programs or Centers of Excellence.
  • Experience managing innovation programs, team effectiveness initiatives, hackathons, idea incubators, or continuous improvement programs.
  • Experience developing and leading AI Champion or Ambassador networks.
  • Experience designing and delivering enterprise learning, training, and enablement programs.
  • Deep understanding of Generative AI, AI agents, machine learning, automation platforms, and responsible AI practices.
  • Experience partnering with communications, learning, technology, and business teams to drive enterprise-wide adoption.
  • Management consulting or transformation consulting experience preferred.
  • MBA or advanced degree in Business, Technology, Data Science, Organizational Leadership, or a related field.
U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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