Vice President, Head of Data Management and AI

Vice President, Head of Data Management and AI

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• Posted on December 5, 2025

NY - Home Office
320 Park Avenue
New York, NY 10022, USA

NY - Home Office
320 Park Avenue
New York, NY 10022, USA

NY - Home Office
320 Park Avenue
New York, NY 10022, USA

NY - Home Office
320 Park Avenue
New York, NY 10022, USA

FL - Boca
1150 Broken Sound Parkway NW
Boca Raton, FL 33487, USA

FL - Boca
1150 Broken Sound Parkway NW
Boca Raton, FL 33487, USA

+1 more locations

less locations

• Hybrid
• Tech-Data - Data Analytics
• Full-Time
• Requisition #: VICEP
  002214
• Match Score :

Mutual of America Financial Group

Job Title: VP, Head of Data Management & AI

Location: New York, NY or Boca Raton, FL (hybrid)

Who We Are:

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 financial 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 Head of Data Management & AI to join us to lead a team dedicated to 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 data and AI strategy, ensuring that all available data is transformed into actionable insights through advanced machine learning models and optimization algorithms.

The role encompasses overseeing the creation and evolution of data platforms, supporting business groups in data projects, 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 data and AI initiatives align with the broader organizational goals and deliver measurable value.

Responsibilities:

• Define data and AI vision, strategy and associated practices. Lead the creation (and assure the ongoing relevance) of the Company’s data and analytics strategy in collaboration with the business.
• Build partnerships with executive leadership and senior team members to execute on the vision for managing data as a company asset — to exploit data and AI capabilities to maximize the value derived from data assets.
• Maintain authority and accountability for exploiting the value of enterprise data, and of the AI systems used to augment decision-making.
• Foster the creation of a data‑driven culture and data literacy across the organization. Lead these efforts by developing the small technical team talent and maturing the capability of the organization.
• Overseeing the collection, storage, management, quality, and protection of data.
• Implementing data privacy policies and complying with data protection regulations.
• Manage and support data governance frameworks with continuous improvement to data quality.
• Effectively communicate the status, value, and importance of data collection to executive members and staff.
• Oversee data platform execution, lead the implementation and continuous optimization of the organization’s defined data platform, ensuring it efficiently supports AI, machine learning, and analytics capabilities across all departments.
• 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…