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: • 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 AIreadiness, 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 regarding data privacy (e.g., GDPR, CCPA), AI  ethics, and records management. • Identify and mitigate risks associated with AI and data governance, including potential legal, ethical, and  operational risks. • Regularly evaluate and report on AI and data initiatives’ performance and impact, adjusting strategies to  meet evolving department needs. 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).

The salary range for this position is $142,032-149,287. The final salary will be set after a complete evaluation of the selected candidate’s qualifications. As an employee of OAG, you will join a team of dedicated individuals who work to serve the people of our state through a wide variety of occupations. We offer a comprehensive New York state benefits package, including paid leave, health, dental, vision, and retirement benefits, and family-friendly policies. Additionally, OAG offers a robust Workplace Flexibilities Program with multiple options for employees, including telecommuting (up to two days per week) and alternative work schedules.