Director of Enterprise AI, Data, and Analytics

Administration Division

Information Technology Bureau Latham (Albany-area)

Director of Enterprise Artificial Intelligence, Data, and Analytics

Reference No. _DIR/

Final date to receive applications is March 6, 2025 *

Salary Range: $,287

To be considered for this opportunity, submit a complete application online at

* Applications accepted on a rolling basis until position is filled. Application review to begin on March 6, 2026.

The Office of the New York State Attorney General s (OAG) (ITB) is seeking an experienced technology manager to serve as Director of Enterprise Artificial Intelligence, Data, and Analytics (Director), a senior leadership role. The Director serves as Section Chief for the recently created Enterprise AI, Data, and Analytics (AI-Data) section within ITB. The section is responsible for the comprehensive management, governance, and strategic direction of artificial intelligence (AI), data science, data analytics, and data management  Director will oversee the design and implementation of AI and data strategies, ensuring AI-readiness, and promoting the effective use of data across OAG.

Based in Latham, NY and reporting directly to the Chief Information Officer (CIO), the Director will lead a multidisciplinary team focused on data architecture, AI, and data-driven solutions, and oversee the implementation of data and records governance practices, including the management of sensitive and classified data in compliance with legal and regulatory requirements.

Duties:

Data and AI Strategy and Governance:

• In coordination with key bureaus and personnel, develop and execute a strategic roadmap for AI, data science, and analytics that aligns with department and OAG priorities.
• Establish and maintain AI and data governance frameworks, ensuring data quality, security, and compliance with state and federal laws.
• Lead the creation and enforcement of best practices for data management, AI, and analytics across the organization.
• Ensure adherence to privacy and data protection laws, with a focus on secure management and handling of sensitive data.

AI-Readiness, Solution Evaluation, and Recommendations:

• Evaluate current data capabilities and prepare the department for AI adoption by assessing AI-readiness, identifying gaps, and proposing necessary infrastructure improvements.
• Conduct assessments and recommend AI tools, training, and solutions to enhance decision-making, automation, compliance, and operational efficiency within the law department.
• Provide leadership in identifying AI-driven opportunities to optimize case management, legal analytics, predictive insights, and administrative tasks.

Data Science and Advanced Analytics:

• Lead and manage data science teams to build advanced analytical models, predictive algorithms, and machine learning applications that support legal operations and decision-making.
• Oversee the development and implementation of analytics platforms that enable data-driven insights for department leaders and other stakeholders.
• Foster innovation in AI and data science, promoting the adoption of emerging techniques such as natural language processing (NLP) for legal text analysis or sentiment analysis for case review.

Content/Records Management and Data Classification:

• Develop and implement comprehensive content and records management strategies to ensure the proper organization, retention, and destruction of records in compliance with legal and regulatory requirements.
• Establish data classification frameworks, ensuring that all data is properly classified according to sensitivity levels and handled accordingly (e.g., public, confidential, restricted, etc.).
• Oversee the management of sensitive legal and case-related data, ensuring compliance with government regulations for the protection of sensitive and classified information.
• Work closely with legal and compliance teams to ensure that data retention schedules and classification policies are adhered to throughout the department.

AI Infrastructure and Data Architecture:

• Design, build, and oversee the implementation of a scalable, secure, and efficient data architecture capable of supporting AI and data science initiatives.
• Collaborate with…