Mutual of America Financial Group
Vice President, Head of Data Management and AI
Mutual of America Financial Group, Boca Raton, Florida, us, 33481
Vice President, Head of Data Management and AI
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Vice President, Head of Data Management and AI
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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 to for‑profit companies, 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.
Responsibilities
Define data and AI vision, strategy and associated practices; lead the creation (and 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 and to exploit data and AI capabilities to maximize value.
Maintain authority and accountability for exploiting the value of enterprise data, and of the AI systems used to augment decision‑making.
Foster a data‑driven culture and data literacy across the organization; develop and mature the capability of the organization.
Oversee collection, storage, management, quality, and protection of data.
Implement data‑privacy policies and comply with data‑protection regulations.
Manage and support data‑governance frameworks with continuous improvement to data quality.
Communicate the status, value, and importance of data collection to executive members and staff.
Lead data‑platform execution, overseeing implementation and continuous optimization of the organization’s platform to support AI, machine learning, and analytics across all departments.
Implement and scale AI strategy; support execution of pre‑defined AI strategy, ensuring models, algorithms, and processes are deployed effectively.
Develop, refine, and deploy cutting‑edge AI models and pipelines across various applications.
Implement comprehensive AI governance frameworks, including policies, standards, and best practices; collaborate with engineers, data scientists, and product managers to integrate governance into projects.
Apply AI for performance optimization across the business using machine learning for real‑time simulations, anomaly detection, and data‑driven optimization.
Integrate AI solutions into workflows by working closely with technical and business teams.
Drive innovation and continuous improvement, exploring emerging technologies to maintain a competitive edge.
Partner with business units to ensure successful execution of critical data projects.
Manage and mentor a team of AI and Data specialists, data scientists, and engineers; foster a culture of high performance, innovation, and adaptability.
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.
Experience building and scaling data platforms that support AI, data engineering, and analytics projects.
Experience with Amazon data management products and services.
Expertise in defining and implementing data strategy, governance, and data‑management best practices.
Knowledge of relevant cloud‑based solutions, particularly Amazon; building data strategies in Amazon environments.
Knowledge of business intelligence tools such as Qlik.
Strong knowledge of AI and data technologies including Python.
Experience with NLP and model‑interpretability libraries, bringing explainability to complex models.
Excellent communication and collaboration skills, working cross‑functionally with multiple stakeholders.
Ability to present complex data and AI insights in a concise, clear manner for non‑technical stakeholders.
Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast‑paced environment.
Preferred Qualifications
10 years of leading data teams at an enterprise level.
5 years of leading AI teams at an enterprise level.
Strong knowledge of data warehousing, data lakes, and big data technologies.
Strong knowledge of cloud‑based (preferably Amazon) data‑management tools.
Proficiency in data analysis tools and programming languages like SQL, Python, R.
Understanding of data modeling and data architecture principles.
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% of 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: $188,800 - $283,100
Seniority Level Executive
Employment Type Full‑time
Job Function Project Management and Information Technology
Equal Employment Opportunity 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.
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Vice President, Head of Data Management and AI
role at
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 to for‑profit companies, 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.
Responsibilities
Define data and AI vision, strategy and associated practices; lead the creation (and 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 and to exploit data and AI capabilities to maximize value.
Maintain authority and accountability for exploiting the value of enterprise data, and of the AI systems used to augment decision‑making.
Foster a data‑driven culture and data literacy across the organization; develop and mature the capability of the organization.
Oversee collection, storage, management, quality, and protection of data.
Implement data‑privacy policies and comply with data‑protection regulations.
Manage and support data‑governance frameworks with continuous improvement to data quality.
Communicate the status, value, and importance of data collection to executive members and staff.
Lead data‑platform execution, overseeing implementation and continuous optimization of the organization’s platform to support AI, machine learning, and analytics across all departments.
Implement and scale AI strategy; support execution of pre‑defined AI strategy, ensuring models, algorithms, and processes are deployed effectively.
Develop, refine, and deploy cutting‑edge AI models and pipelines across various applications.
Implement comprehensive AI governance frameworks, including policies, standards, and best practices; collaborate with engineers, data scientists, and product managers to integrate governance into projects.
Apply AI for performance optimization across the business using machine learning for real‑time simulations, anomaly detection, and data‑driven optimization.
Integrate AI solutions into workflows by working closely with technical and business teams.
Drive innovation and continuous improvement, exploring emerging technologies to maintain a competitive edge.
Partner with business units to ensure successful execution of critical data projects.
Manage and mentor a team of AI and Data specialists, data scientists, and engineers; foster a culture of high performance, innovation, and adaptability.
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.
Experience building and scaling data platforms that support AI, data engineering, and analytics projects.
Experience with Amazon data management products and services.
Expertise in defining and implementing data strategy, governance, and data‑management best practices.
Knowledge of relevant cloud‑based solutions, particularly Amazon; building data strategies in Amazon environments.
Knowledge of business intelligence tools such as Qlik.
Strong knowledge of AI and data technologies including Python.
Experience with NLP and model‑interpretability libraries, bringing explainability to complex models.
Excellent communication and collaboration skills, working cross‑functionally with multiple stakeholders.
Ability to present complex data and AI insights in a concise, clear manner for non‑technical stakeholders.
Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast‑paced environment.
Preferred Qualifications
10 years of leading data teams at an enterprise level.
5 years of leading AI teams at an enterprise level.
Strong knowledge of data warehousing, data lakes, and big data technologies.
Strong knowledge of cloud‑based (preferably Amazon) data‑management tools.
Proficiency in data analysis tools and programming languages like SQL, Python, R.
Understanding of data modeling and data architecture principles.
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% of 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: $188,800 - $283,100
Seniority Level Executive
Employment Type Full‑time
Job Function Project Management and Information Technology
Equal Employment Opportunity 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.
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