Mutual of America Financial Group is looking to leverage data and artificial intelligence to enhance decision-making, performance, and operational efficiency by transforming available data into actionable insights through advanced machine learning models and optimization algorithms.
Requirements
- Proven experience in developing and deploying AI/machine learning models and optimization algorithms across multiple domains.
- 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.
- 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
Responsibilities
- Define data and AI vision, strategy and associated practices.
- 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.
- 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.
Other
- Strong leadership skills, with the ability to build, lead, and mentor teams while navigating a dynamic business landscape.
- 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.
- 10 years of leading data teams at an enterprise level
