Mutual of America
Vice President, Head of Data Management and AI
Mutual of America, New York, New York, us, 10261
Mutual of America Financial Group
Job Title :
VP, Head of Data Management & AI Location :
New York, NY or Boca Raton, FL (hybrid) Overview
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 frameworks, including policies, standards, and best practices. Collaborate with internal stakeholders ( engineers, data scientists, product managers) 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 the AI and Data teams remain on the cutting edge by exploring emerging technologiesthus promoting a culture of innovation to maintain a competitive edge. Collaborate on data projects : Partner with business units to ensure successful execution of critical data projects that have already been scoped. Leadership & team development : Manage and mentor a team of AI and Data specialists, data scientists, and engineers, providing guidance to ensure the team delivers impactful results while fostering 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 while navigating a dynamic business landscape. Experience building and scaling data platforms that support AI, data engineering, and analytics projects across an organization. Experience working with Amazon data management products and services. Expertise in defining and implementing data strategy, governance, and data management best practices. Strong knowledge of Qlik business intelligence tool Knowledge of relevant cloud-based solutions, particular experience building data strategies in Amazon 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 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
years of leading data teams at an enterprise level 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 k) Match : % Employer Match on up to % of employee contributions (Salary and Incentive Comp) Parental Leave : weeks fully paid Paid time off : 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 :
$, - $,
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VP, Head of Data Management & AI Location :
New York, NY or Boca Raton, FL (hybrid) Overview
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 frameworks, including policies, standards, and best practices. Collaborate with internal stakeholders ( engineers, data scientists, product managers) 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 the AI and Data teams remain on the cutting edge by exploring emerging technologiesthus promoting a culture of innovation to maintain a competitive edge. Collaborate on data projects : Partner with business units to ensure successful execution of critical data projects that have already been scoped. Leadership & team development : Manage and mentor a team of AI and Data specialists, data scientists, and engineers, providing guidance to ensure the team delivers impactful results while fostering 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 while navigating a dynamic business landscape. Experience building and scaling data platforms that support AI, data engineering, and analytics projects across an organization. Experience working with Amazon data management products and services. Expertise in defining and implementing data strategy, governance, and data management best practices. Strong knowledge of Qlik business intelligence tool Knowledge of relevant cloud-based solutions, particular experience building data strategies in Amazon 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 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
years of leading data teams at an enterprise level 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 k) Match : % Employer Match on up to % of employee contributions (Salary and Incentive Comp) Parental Leave : weeks fully paid Paid time off : 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 :
$, - $,
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