VP of AI and Machine Learning – Health Insurance Provider

Are you an AI innovator who thrives at the intersection of technology, data science, and business strategy? A leading health insurance provider in Hartford, CT is seeking a Vice President of AI & Machine Learning to architect and execute transformative AI initiatives across the organization. In this pivotal role, you will drive the adoption of machine learning, predictive analytics, automation, and AI-driven decision-making to improve patient outcomes, enhance member engagement, and optimize business operations. If you excel in shaping digital vision, leading high-impact teams, and delivering measurable value through emerging technology, this opportunity is for you.

Lead AI Transformation in a Growing Healthcare Organization

A major health insurance company in Hartford, CT is looking for an experienced VP of AI & Machine Learning to design and scale AI strategies that reshape how healthcare is delivered and experienced. The ideal candidate will bring deep technical expertise in AI/ML, a strong understanding of data governance and regulatory compliance in healthcare, and a proven ability to drive enterprise-wide transformation. If you are passionate about leveraging AI to create meaningful, real-world impact in the lives of millions of members, this is your chance to lead the future of intelligent healthcare.

Key Responsibilities of the VP of AI and Machine Learning – Health Insurance Provider

AI Strategy & Vision:
Develop and execute a comprehensive AI and machine learning roadmap aligned with organizational goals. As the VP of AI and Machine Learning, drive strategic initiatives that enhance member experience, improve health outcomes, and support scalable business growth.

Enterprise AI Deployment:
Lead the end-to-end deployment of AI and machine learning models across multiple business functions—claims automation, fraud detection, underwriting, risk modeling, and customer engagement. Ensure seamless integration of AI into critical enterprise workflows.

Data & Analytics Leadership:
Build and optimize data ecosystems, leveraging advanced analytics and predictive modeling. Partner with data engineering and analytics teams to ensure data quality, accessibility, and security for high-impact AI initiatives.

Technology Innovation:
Identify emerging AI technologies and implement innovative solutions that improve efficiency and competitive advantage. Champion the adoption of new tools, platforms, and methodologies within the organization.

Cross-Functional Collaboration:
Collaborate with senior executives, IT, operations, product, and compliance teams to translate business goals into AI-driven outcomes. Serve as the AI subject matter expert and strategic advisor to leadership.

Regulatory & Compliance Governance:
Ensure that all AI and machine learning initiatives adhere to healthcare regulations, including HIPAA, data privacy, and ethical AI standards. Develop governance frameworks to manage AI risk and ensure responsible AI practices.

Performance Measurement & Optimization:
Establish KPIs to track model performance, business impact, and ROI of AI programs. Continuously refine algorithms and workflows to increase model accuracy and operational efficiency.

Team Leadership & Talent Development:
Build, mentor, and lead a high-performing team of data scientists, ML engineers, and AI specialists. Foster a culture of innovation, continuous learning, and collaboration within the AI organization.

Budget Management & Resource Allocation:
Oversee AI program budgets, technology investments, and vendor partnerships. Evaluate technology platforms and ensure optimal resource allocation to maximize business value.

Stakeholder Communication & Reporting:
Communicate AI strategy, progress, and outcomes to executive leadership and board stakeholders. Provide data-driven insights and reports that influence key business decisions.

What the Client is Looking for in You

As the VP of AI and Machine Learning, the client is searching for a visionary technology leader who can shape the future of AI within the organization. You should be able to bridge technical expertise with business strategy, driving innovation through intelligent automation, predictive insights, and enterprise-level AI adoption within the healthcare and insurance space.

Proven Expertise in AI & Machine Learning Leadership

The ideal candidate will have demonstrated success leading large-scale AI and machine learning initiatives. You should bring deep technical knowledge in data science, predictive analytics, and model deployment, with a strong portfolio of delivering measurable business impact. Experience in healthcare, insurance, or other highly regulated sectors is highly valued.

Strategic Innovator with Business Acumen

As the VP of AI and Machine Learning, you must be able to translate complex data challenges into actionable business strategies. The client values leaders who are capable of defining AI roadmaps, identifying new opportunities for automation and optimization, and leveraging data-driven insights to influence enterprise decision-making.

Strong Understanding of Data Governance & Compliance

The client seeks an executive who understands data security, privacy, and healthcare regulatory compliance (HIPAA, PHI). You should be skilled in implementing responsible AI frameworks, risk mitigation strategies, and ethical AI practices, ensuring that all initiatives meet both regulatory and governance standards.

Ability to Build & Lead High-Performing AI Teams

Leadership is critical in this role. You should have a proven ability to attract, mentor, and empower top talent across data science, machine learning engineering, and AI product development. The client values a leader who cultivates a culture of innovation, collaboration, and continuous learning.

Collaborative Partner & Influential Communicator

The client is looking for a leader who excels in working with senior stakeholders, including CIOs, CTOs, product owners, and business unit executives. Your ability to communicate complex AI concepts in simple, strategic terms—and influence without direct authority—is essential to success in this role.

Results-Oriented Mindset with a Focus on Impact

The ideal VP of AI and Machine Learning thrives in fast-paced, transformation-focused environments and brings a strong track record of delivering business outcomes. You should be comfortable setting measurable KPIs, tracking ROI, and driving continuous improvement across AI systems and models.

FAQs About the Role – VP of AI and Machine Learning – Health Insurance Provider

1. What are the key responsibilities of the VP of AI and Machine Learning?
As the VP of AI and Machine Learning, you will oversee the development and execution of enterprise AI and machine learning strategies. This includes leading AI-driven initiatives such as predictive analytics, automation, and risk modeling. You will collaborate closely with business, operations, and technical teams to deploy AI solutions that improve customer experience, streamline processes, and drive innovation. You will also ensure model performance, governance, and regulatory compliance within a healthcare environment.

2. What qualifications and experience are required for this position?
The ideal candidate should have extensive leadership experience in AI, machine learning, and data science, preferably within healthcare, insurance, or another highly regulated industry. Experience deploying AI models into production, working with large-scale data systems, and leading cross-functional teams is essential. A Master’s or Ph.D. in Computer Science, Data Science, AI/ML, or a related field is preferred. Certifications or hands-on expertise with cloud AI/ML platforms (AWS, Azure, Google Cloud) are highly valued.

3. What leadership qualities are essential for the VP of AI and Machine Learning?
The client is seeking a leader who combines strategic thinking with technical expertise. You should excel at guiding AI teams, influencing stakeholders, communicating complex concepts clearly, and driving decision-making based on data. The ideal VP of AI and Machine Learning will also have strong problem-solving skills, the ability to foster collaboration, and a mindset focused on measurable business outcomes.

4. What challenges can I expect in this role?
You can expect challenges such as integrating AI into legacy systems, navigating strict data privacy and compliance regulations (including HIPAA), ensuring model transparency, and driving AI adoption across non-technical departments. Balancing innovation with operational stability and gaining organizational buy-in for new technologies will be key responsibilities.

5. What impact will the VP of AI and Machine Learning have on the organization?
Your role will directly impact the organization’s ability to leverage AI for improved member experience, operational efficiency, cost savings, and improved care outcomes. The VP of AI and Machine Learning will play a pivotal role in shaping the organization’s competitive edge, transforming data into actionable insights, and positioning the company as a leader in AI-driven healthcare solutions.

6. What is the company’s culture and work environment like?
The company fosters a collaborative and innovation-focused culture, where data-driven decision-making and continuous improvement are highly encouraged. You will be empowered to build a high-performing AI organization while working closely with leadership teams who value technical excellence, transparency, and customer impact.

What Remuneration Can You Expect from This Job?

As the VP of AI and Machine Learning for a leading Health Insurance Provider in Hartford, CT, you can expect a highly competitive and attractive compensation package designed to reward advanced technical leadership, innovation, and enterprise transformation. This compensation structure is aligned with executive-level AI leadership roles within large healthcare and technology-driven organizations.

1. Base Salary

The base salary for a VP of AI and Machine Learning typically ranges from $240,000 to $380,000 annually, depending on experience, technical expertise, and the scale of the organization’s AI initiatives. Candidates with prior healthcare or regulated industry experience may command salaries at the higher end of this range.

2. Performance-Based Bonuses

Most compensation packages for this role include significant performance-based annual bonuses, tied to key outcomes such as AI adoption, cost reduction efficiency, automation results, and enterprise transformation milestones. Bonus potential generally ranges from 25% to 75% of base salary, with higher bonuses awarded for exceeding strategic goals.

3. Equity & Long-Term Incentives

Many health insurance organizations, especially those pursuing digital transformation, offer equity, Restricted Stock Units (RSUs), or long-term incentive plans to executives. These incentives are designed to reward innovation and long-term organizational impact, making equity a valuable part of the total compensation package.

4. Profit-Sharing & Long-Term Performance Programs

Some organizations offer profit-sharing or long-term incentive programs that reward sustained success and measurable business impact over multiple years. Compensation linked to long-term strategic goals allows the VP of AI and Machine Learning to benefit financially from enterprise growth and digital transformation outcomes.

5. Executive-Level Benefits & Perks

Compensation packages typically include exclusive executive benefits, such as:

Comprehensive medical, dental, and vision insurance
401(k) with enhanced employer contributions
Supplemental retirement or deferred compensation plans
Executive development programs and conference allowances
Paid travel, relocation assistance, and wellness benefits

6. Signing Bonus & Relocation Assistance

Depending on candidate profile and relocation needs, companies may offer a signing bonus between $25,000 and $150,000, along with relocation assistance for executives moving to Hartford, CT.

Total Compensation Potential

When combining base salary, performance bonuses, equity, and incentives, the total annual earning potential for a VP of AI and Machine Learning can range from $350,000 to well over $700,000+.
In large enterprise-level organizations undergoing major AI-driven transformation, total compensation may exceed $1 million annually.

How to Apply

If you are an innovative, forward-thinking technology leader with a proven track record in deploying enterprise-scale artificial intelligence solutions, we invite you to apply for the VP of AI and Machine Learning role with a leading Health Insurance Provider in Hartford, CT. This is a rare opportunity to influence digital transformation at an enterprise level and shape the future of AI-driven healthcare.

To apply, please submit your resume along with a persuasive cover letter outlining your experience in AI strategy, machine learning deployment, predictive analytics, data governance, and leading high-performing AI teams. Highlight your accomplishments related to automation, cost optimization, operational efficiency, and your ability to translate business challenges into AI-powered solutions. Show how your leadership has driven measurable outcomes and accelerated AI adoption within an organization.

This is a high-impact executive role where you will drive innovation, improve member experience, and lead enterprise-level transformation initiatives. If you are ready to harness advanced AI capabilities and create meaningful change in the healthcare industry, apply today for the VP of AI and Machine Learning position based in Hartford, CT.

For more information or to explore similar executive-level opportunities in AI and digital transformation, visit our Healthcare AI Executive Search Firm Page.

Job Category: Healthcare AI

Job Type: Full Time

Job Location: Hartford

VP of AI and Machine Learning – Health Insurance Provider – Hartford, CT