Vice President, AI Strategy (New York)

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 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.