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How much do executive medical artificial intelligence jobs pay per year?

As of Aug 21, 2026, the average yearly pay for executive medical artificial intelligence 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 Medical Artificial Intelligence?

An Executive Medical Artificial Intelligence is a senior-level professional who leads the development and implementation of AI technologies in healthcare organizations. They oversee strategies to integrate machine learning and data-driven tools into medical operations, aiming to improve patient care, clinical decision-making, and operational efficiency. This role requires a deep understanding of both healthcare systems and advanced AI methodologies, as well as leadership skills to manage interdisciplinary teams and ensure compliance with regulations. Executives in this field often collaborate with clinicians, data scientists, and IT professionals to drive innovation and maintain ethical standards.

What are the key skills and qualifications needed to thrive as an executive in medical artificial intelligence?

To thrive as an Executive in Medical Artificial Intelligence, you need expertise in healthcare, AI technologies, strategic leadership, and typically an advanced degree in a relevant field such as medicine, computer science, or biomedical engineering. Familiarity with machine learning platforms, regulatory compliance systems (like HIPAA), and data analytics tools is essential, as is experience with certifications in project management or AI ethics. Exceptional communication, visionary leadership, and the ability to foster cross-disciplinary collaboration are standout soft skills for this role. These skills and qualities are crucial for driving innovation, ensuring patient safety, and successfully integrating AI solutions into complex healthcare environments.

How does an executive medical artificial intelligence professional typically collaborate with clinical and technical teams to implement AI solutions in healthcare settings?

An Executive Medical Artificial Intelligence professional plays a pivotal role in bridging the gap between healthcare providers and technical AI teams. They regularly engage with clinicians to understand medical needs, then work with data scientists and engineers to ensure AI solutions are clinically relevant, ethical, and compliant with healthcare regulations. Effective communication, cross-functional meetings, and iterative feedback cycles are essential for aligning project goals and ensuring successful integration of AI tools in real-world clinical workflows. This collaborative approach helps drive innovation while maintaining patient safety and data privacy.

What is the difference between Executive Medical Artificial Intelligence vs Medical Data Scientist?

AspectExecutive Medical Artificial IntelligenceMedical Data Scientist
Required CredentialsAdvanced degrees in AI, healthcare, or related fields; experience in AI developmentMaster's or PhD in Data Science, Statistics, or related fields; healthcare data experience
Work EnvironmentHealthcare tech companies, hospitals, research institutionsResearch labs, healthcare organizations, tech firms
Employer & Industry UsageHealthcare AI solutions, medical device companies, hospitalsData analysis, predictive modeling, healthcare research
Common Search & Comparison IntentUnderstanding executive roles in healthcare AIData analysis in medical contexts

Executive Medical Artificial Intelligence professionals focus on leading AI initiatives in healthcare, often with strategic and managerial responsibilities. Medical Data Scientists analyze healthcare data to develop models and insights. While both roles require strong technical skills, Executive Medical Artificial Intelligence roles emphasize leadership and AI strategy, whereas Medical Data Scientists focus on data analysis and modeling.

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Executive Medical Artificial Intelligence jobs near you
Infographic showing various Executive Medical Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Vice President Artificial Intelligence

Plymouth Rock Assurance Corporation

Boston, MA • On-site

$400K - $600K/yr

Full-time

Re-posted 23 days ago

Plymouth Rock Assurance rating

8.5

Company rating: 8.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

107th of 311 rated insurance

Job description

The Vice President Artificial Intelligence will be responsible for defining, governing, and scaling the company's artificial intelligence strategy to drive underwriting excellence, claims efficiency, operational productivity, and superior customer outcomes. As a member of the executive leadership team, the Vice President will ensure that AI initiatives are aligned with business strategy, regulatory expectations, ethical standards, and risk management frameworks specific to the property & casualty insurance industry.

This role will lead the transition from experimentation to enterprise-grade AI, embedding advanced analytics, machine learning, and generative AI across core insurance functions while ensuring transparency, fairness, security, and compliance. The ideal candidate will combine deep expertise in artificial intelligence with strong strategic vision, exceptional communicative and persuasive skills, and an ability to lead transformative projects from inception to execution. An advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Data Science, or a related field, is preferred.Unusuallyhigh levelsof energy, motivation, and determination are alsopreferred.

In this role, you will:

  • Define and execute a multi-year enterprise AI strategy aligned with corporate objectives, growth plans, and risk appetite.
  • Serve as executive owner of AI vision, roadmap, investment prioritization, and value realization.
  • Propose AI strategies that align with the company's overall business objectives and identify opportunities where AI can drive innovation, efficiency, and business transformation.
  • Collaborate with senior executives, department heads, and cross-functional teams to align AI initiatives with company goals.
  • Build and develop a high-performing team of 25 AI/ML professionals to design, implement, and scale advanced AI and machine learning solutions.

Salary Range:

The base salary for this position ranges from $400,000 to $600,000 annually, with substantial additional compensation components that could potentially double the total compensation package.

About Plymouth Rock

Founded in 1982 and headquartered in Boston, writing approximately $2.5 billion in annual premiums, Plymouth Rock is a privately held insurer specializing in automobile and home insurance. Plymouth Rock considers itself to be the "largest of the entrepreneurial insurers" and the "smallest of the large insurers." We blend the agility, innovation, and growth potential of a dynamic startup with the resources, stability, and security of a well-established organization.

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