Mutual of America Financial Group
Vice President, Head of Data Management and AI
Mutual of America Financial Group, New York, New York, us, 10261
Vice President, Head of Data Management and AI
Join to apply for the
Vice President, Head of Data Management and AI
role at
Mutual of America Financial Group .
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. Founded in 1945, we provide pension and retirement-related services to nonprofit and for‑profit organizations, governmental entities, tribal enterprises, institutional investors, and individuals. 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 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 of the company’s data and analytics strategy in collaboration with the business.
Build partnerships with executive leadership and senior team members to execute the vision for managing data as a company asset.
Maintain authority and accountability for exploiting the value of enterprise data and AI systems.
Foster a data‑driven culture and data literacy across the organization; develop the technical team and mature organizational capability.
Oversee the 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 of data quality.
Effectively communicate the status, value, and importance of data collection to executive members and staff.
Lead data platform execution and continuously optimize the organization’s defined data platform for AI, machine learning, and analytics.
Implement and scale the AI strategy, ensuring that AI models, algorithms, and processes are deployed effectively across key areas.
Develop, refine, and deploy cutting‑edge AI models and pipelines across various applications.
Implement comprehensive AI governance frameworks, collaborating with engineers, data scientists, and product managers.
Apply AI for performance optimization across the business, including real‑time simulations, anomaly detection, and data‑driven optimization.
Integrate AI solutions into workflows by collaborating closely with technical and business teams.
Promote innovation and continuous improvement by exploring emerging technologies.
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, fostering a culture of high performance, innovation, and adaptability.
Required Qualifications
Proven experience 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 in a dynamic business environment.
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 best practices.
Knowledge of cloud‑based solutions, particularly Amazon services.
Knowledge of business intelligence tools such as Qlik.
Strong knowledge of AI and data technologies including Python.
Experience with NLP and model interpretability libraries, enabling explainability.
Excellent communication and collaboration skills across technical and business stakeholders.
Ability to present complex data and AI insights concisely and clearly to non‑technical audiences.
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.
Proficiency with data governance best practices.
What We Offer You
Competitive base salary.
Annual bonus.
Comprehensive benefits package (medical, dental, and vision) starting day one of employment.
401(k) match: 100% Employer Match on up to 6% of employee contributions.
Parental leave: 8 weeks fully paid.
Paid time off: 28 days plus two floating personal holidays.
Base Salary Range Base Salary Range: $188,800 - $283,100. The role is also eligible for an annual bonus, whereby total compensation may exceed this range depending on individual and/or company performance.
Contact Visit
www.mutualofamerica.com/careers
for additional details about life at Mutual of America. You can also follow us on
Twitter:
@mutualofamerica |
Facebook:
@mutualofamerica.
EEO Statement 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.
#J-18808-Ljbffr
Vice President, Head of Data Management and AI
role at
Mutual of America Financial Group .
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. Founded in 1945, we provide pension and retirement-related services to nonprofit and for‑profit organizations, governmental entities, tribal enterprises, institutional investors, and individuals. 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 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 of the company’s data and analytics strategy in collaboration with the business.
Build partnerships with executive leadership and senior team members to execute the vision for managing data as a company asset.
Maintain authority and accountability for exploiting the value of enterprise data and AI systems.
Foster a data‑driven culture and data literacy across the organization; develop the technical team and mature organizational capability.
Oversee the 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 of data quality.
Effectively communicate the status, value, and importance of data collection to executive members and staff.
Lead data platform execution and continuously optimize the organization’s defined data platform for AI, machine learning, and analytics.
Implement and scale the AI strategy, ensuring that AI models, algorithms, and processes are deployed effectively across key areas.
Develop, refine, and deploy cutting‑edge AI models and pipelines across various applications.
Implement comprehensive AI governance frameworks, collaborating with engineers, data scientists, and product managers.
Apply AI for performance optimization across the business, including real‑time simulations, anomaly detection, and data‑driven optimization.
Integrate AI solutions into workflows by collaborating closely with technical and business teams.
Promote innovation and continuous improvement by exploring emerging technologies.
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, fostering a culture of high performance, innovation, and adaptability.
Required Qualifications
Proven experience 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 in a dynamic business environment.
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 best practices.
Knowledge of cloud‑based solutions, particularly Amazon services.
Knowledge of business intelligence tools such as Qlik.
Strong knowledge of AI and data technologies including Python.
Experience with NLP and model interpretability libraries, enabling explainability.
Excellent communication and collaboration skills across technical and business stakeholders.
Ability to present complex data and AI insights concisely and clearly to non‑technical audiences.
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.
Proficiency with data governance best practices.
What We Offer You
Competitive base salary.
Annual bonus.
Comprehensive benefits package (medical, dental, and vision) starting day one of employment.
401(k) match: 100% Employer Match on up to 6% of employee contributions.
Parental leave: 8 weeks fully paid.
Paid time off: 28 days plus two floating personal holidays.
Base Salary Range Base Salary Range: $188,800 - $283,100. The role is also eligible for an annual bonus, whereby total compensation may exceed this range depending on individual and/or company performance.
Contact Visit
www.mutualofamerica.com/careers
for additional details about life at Mutual of America. You can also follow us on
Twitter:
@mutualofamerica |
Facebook:
@mutualofamerica.
EEO Statement 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.
#J-18808-Ljbffr