Director of Enterprise Artificial Intelligence, Data, and Analytics

Director Of Enterprise Artificial Intelligence, Data, And Analytics

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 datadriven 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
• AI-Readiness, Solution Evaluation, and Recommendations
• Data Science and Advanced Analytics
• Content/Records Management and Data Classification
• AI Infrastructure and Data Architecture
• Team Leadership, Mentorship, and Development
• Cross-Department Collaboration and Stakeholder Management
• Continuous Improvement, Risk Management, and Compliance

Qualifications:

• A bachelor's degree in Data Science, Computer Science, Information Technology, or a related field.
• A master's degree in a relevant field (e.g., Data Science, Business Analytics, Information Systems) is preferred.
• At least seven (7) years of experience in enterprise data architecture, data science, and analytics, including at least five (5) years in a leadership or managerial role.
• Extensive experience in content and records management, data classification, and governance, particularly within regulated environments.
• Proven track record of leading complex data initiatives in the public and/or legal sector.
• In-depth knowledge of data privacy, security standards, and records management regulations (e.g., FOIA, FERPA, HIPAA).
• Strong background in AI, machine learning, data modeling, data architecture, and big data technologies (e.g. Data Lakes, Warehouse, etc.) in cloud and on-premise environments in government specific environments.
• Up-to-date familiarity with numerous AI LLM's, agentic and embedded AI enterprise solutions including Microsoft365 Copilot GCC and legal research AI platforms.
• Demonstrated leadership and people management experience, including the ability to build and lead cross functional teams, manage resources, and cultivate a high-performance work environment in a matrix and shared governance model.
• Expertise in AI/ML algorithms, data analytics platforms, and emerging data science techniques.
• Deep understanding of data governance frameworks, including records management, data classification, and data sensitivity management.
• Ability to translate business requirements into actionable AI/data science strategies while managing risk and compliance.
• Ability to communicate technical concepts and data-driven insights to both technical and non-technical stakeholders.
• Understanding of AI ethics, data privacy laws, and regulatory requirements relevant to public-sector and legal data management.
• Availability for periodic travel within New York State and elsewhere in the United States for conferences and meetings is required.

Preferred Skills and Experience:

• AI/data science certifications (e.g., AWS Certified Machine Learning, TensorFlow).
• Certified Records Manager (CRM) or similar certifications in records management.
• Data governance or compliance-related certifications (e.g., CDMP, CIPP).