Director of Artificial Intelligence

Administration Division
Information Technology Bureau—Latham (Albany-area)
Director of Enterprise Artificial Intelligence, Data, and Analytics
Reference No. ITB_LAT_DIR/AI_6454
Applications accepted on a rolling basis until position is filled.
Salary Range: $142,032-149,287
To be considered for this opportunity, submit a complete application online at ag.ny.gov/job-postings/other

*Applications accepted on a rolling basis until position is filled. Application review to begin on July 31, 2026.

The Office of the New York State Attorney General’s (OAG) Information Technology Bureau (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 at OAG. The 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 various teams to ensure that infrastructure (cloud, on-premises, hybrid) is optimized for performance, scalability, and AI workloads.
Lead the development of data pipelines, ensuring seamless integration across systems and real-time data processing capabilities.
Ensure architecture supports both structured and unstructured data sources, including legal documents, case files, and external databases.
Team Leadership, Mentorship, and Development:
Lead, manage, and mentor a cross-functional team of AI experts, data scientists, data engineers, analysts, and content/records management professionals.
Foster a collaborative and innovative culture that encourages continuous learning, knowledge sharing, and professional growth.
Manage performance, development, and resource allocation, ensuring that projects are completed on time, within budget, and aligned with strategic objectives.
Cross-Department Collaboration and Stakeholder Management:
Collaborate with senior department leaders, legal teams, compliance officers, and external stakeholders to identify opportunities for AI and data-driven innovation.
Serve as the primary point of contact for all AI and data governance issues, providing recommendations on data usage, access, and integration across systems.
Communicate complex AI and data strategies to non-technical stakeholders, ensuring buy-in and alignment with department goals.
Continuous Improvement, Risk Management, and Compliance:
Stay current with developments in AI, data science, legal tech, and records management practices, identifying opportunities for ITB to leverage new technologies and approaches.
Ensure compliance with federal, state, and local regulations rega