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Vice President Machine Learning Jobs (NOW HIRING)

Vice President, AI Strategy

Manhattan, NY · On-site

$176K - $265K/yr

Collaborate with the VP of Data, ensuring the data platform efficiently supports AI, machine learning, and analytics capabilities across all departments. * Maintain authority and accountability for ...

The new VP must have a history of delivering high-quality work and building ongoing, trust-based ... Moreover, they should possess good knowledge of Data Science, Machine Learning, and Advanced ...

The VP, Algorithm - AI is responsible for leading the strategy, development, and execution of ... Drive innovation in machine learning, signal processing, and modeling to advance Masimo ...

VP, Algorithm - AI

Irvine, CA · On-site

$254K - $320K/yr

The VP, Algorithm - AI is responsible for leading the strategy, development, and execution of ... Drive innovation in machine learning, signal processing, and modeling to advance Masimo ...

The VP will set long-term product strategy, align multi-product roadmaps to business goals, and ... Bring demonstrated experience building or evolving products that leverage AI, machine learning, or ...

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Vice President Machine Learning information

See salary details

$35.5K

$114.7K

$181.5K

How much do vice president machine learning jobs pay per year?

As of Jul 4, 2026, the average yearly pay for vice president machine learning in the United States is $114,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vice President of Machine Learning, and why are they important?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What does a Vice President of Machine Learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What are some common challenges faced by a Vice President of Machine Learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

What cities are hiring for Vice President Machine Learning jobs? Cities with the most Vice President Machine Learning job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Vice President Machine Learning jobs? States with the most job openings for Vice President Machine Learning jobs include:
Infographic showing various Vice President Machine Learning job openings in the United States as of June 2026, with employment types broken down into 20% Full Time, 78% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $114,728 per year, or $55.2 per hour.
Vice President, AI Strategy

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Mutual of America Financial Group
Job Title:  
Vice President, AI Strategy
Location: New York, NY or Boca Raton, FL (hybrid) 

Who Are We:

At Mutual of America Financial Group, we help people build the assets they need to achieve greater financial security. Our Company is built upon a solid foundation of integrity, excellence, and social responsibility. We were founded in 1945 to provide small and mid-sized nonprofit organizations with pension and retirement-related services, along with leading customer support. Today, we provide these services also to for-profit companies, as well as to governmental entities, Tribal enterprises, institutional investors, and individuals. We work diligently to understand the needs of our customers so we can help them achieve their retirement savings goals.

We are committed to bringing talented and motivated people together to help our customers achieve a financially secure future.

Role Summary:

We are looking for a Vice President of AI Strategy to join us to lead AI initiatives, driving value for the business by leveraging data and artificial intelligence to enhance decision-making, performance, and operational efficiency. This leader will own the development and execution of the AI strategy, collaborating with the data team to ensure that all available data is transformed into actionable insights through advanced machine learning models and optimization algorithms.

This is a strategic role, focused on working with business leaders and technology teams to define the company’s AI strategy and building scalable AI solutions that can be used across the organization. The role requires exceptional leadership, communication, and organizational skills, with the ability to balance strategic direction and hands-on execution. You will ensure that AI initiatives align with the broader organizational goals and deliver measurable value.

Responsibilities:

  • Define AI vision, strategy and associated practices. Lead the creation (and assure the ongoing relevance) of the Company’s AI strategy in collaboration with the business.
  • Build partnerships with executive leadership and senior team members to execute on the vision for managing AI projects and applications, to exploit data and AI capabilities to maximize the value.
  • Collaborate with the VP of Data, ensuring the data platform efficiently supports AI, machine learning, and analytics capabilities across all departments.
  • Maintain authority and accountability for exploiting the value of enterprise data, and of the AI systems used to augment decision-making.
  • AI strategy implementation and scaling, oversee the execution and scaling of the pre-defined AI strategy, ensuring that AI models, algorithms, and processes are deployed effectively across key areas.
  • Manage the development, refinement, and deployment of cutting-edge AI models and pipelines across various applications.
  • Develop and implement comprehensive AI governance frameworks, including policies, standards, and best practices. Collaborate with internal stakeholders to integrate AI governance principles into project development and deployment.
  • Data-driven optimization: Lead efforts to apply AI for performance optimization across the business, including leveraging machine learning for real-time simulations, anomaly detection, and data-driven optimization
  • Cross-functional AI integration: Work closely with technical and business teams to ensure AI solutions are effectively integrated into workflows.
  • Innovation and continuous improvement: Ensure that AI products remain on the cutting edge by exploring emerging technologies thus promoting a culture of innovation to maintain a competitive edge.
  • Collaborate on data projects: Partner with business units and data teams to ensure successful execution of critical data projects that will be leveraged by AI.

Required Qualifications:

  • Proven experience in developing and deploying AI/machine learning models and optimization algorithms across multiple domains.
  • Strong leadership skills, with the ability to build, lead, and mentor teams while navigating a dynamic business landscape.
  • Experience integrating with data platforms that support AI, data engineering, and analytics projects across an organization.
  • Strong knowledge of AI and data technologies including Python.
  • Experience with Natural Language Processing (NLP) and model interpretability libraries, bringing explain-ability to complex models.
  • Excellent communication and collaboration skills, with the ability to work cross-functionally and manage relationships with multiple business and technical stakeholders.
  • The ability to present complex data and AI insights in a concise, clear manner, making data understandable and actionable to non-technical stakeholders.
  • Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment.

Preferred Qualifications:

  • 5 years of leading AI projects at an enterprise level
  • Proficiency in data analysis tools and programming languages like SQL, Python, R.
  • Understanding of data modeling and data architecture principles
  • Expertise in defining and implementing data strategy, governance, and data management best practices.
  • Proficient with data governance best practices

What we offer you:

  • Competitive base salary
  • Annual Bonus
  • Comprehensive Benefits Package (medical, dental, and vision) that starts day one of employment
  • 401(k) Match: 100% Employer Match on up to 6% employee contributions (Salary and Incentive Comp)
  • Parental Leave: 8 weeks fully paid
  • Paid time off: 28 days plus two floating personal holidays 

The salary range below describes the minimum to maximum base salary range for this role.  The role is also eligible for an annual bonus, whereby total compensation may exceed this range depending on individual and / or company performance.

Base Salary Range: $176,700 - $265,100

Visit www.mutualofamerica.com/careers for additional details about life at Mutual of America. You can also follow us on Twitter: @mutualofamerica | Facebook: @mutualofamerica

Mutual of America Financial Group provides equal employment opportunity to all qualified employees and applicants for employment regardless of race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, or any other classification prohibited by applicable law.