Applications Accepted Until Position Filled | Application Review Begins on January 10, 2025*
Position Duration: Full-Time, Permanent
Format: Workplace flexibilities are available, including up to 2 days of telecommuting per week
Administration Division
Information Technology Bureau—Latham (Albany Area)
Director of Enterprise Artificial Intelligence, Data, and Analytics
Reference No. ITB_DIA_6351
Salary: $137,895 - $151,988
Applications Accepted Until Position Filled | Application Review Begins on January 10, 2025*
Click here to apply
The Office of the New York State Attorney General’s (OAG) Information Technology Bureau (ITB) is seeking a strategic
technology leader and experienced people manager to lead the bureau’s newly created Enterprise AI, Data, and
Analytics (AI-Data) team. The Director of Enterprise Artificial Intelligence, Data, and Analytics (Director) is a senior
leadership position in ITB and is responsible for the comprehensive management, governance, and strategic direction of
artificial intelligence (AI), data science, data analytics, and data management within OAG. The Director oversees the
design and implementation of AI and data strategies, ensuring AI-readiness and promoting the effective use of data
across OAG. Additionally, the Director leads a multidisciplinary team focused on data architecture, infrastructure, AI and
data-driven solutions, and the implementation of data governance practices, including the management of sensitive and
classified data in compliance with legal and regulatory requirements. This position is in the Latham (Albany area) ITB
office and reports to the Chief Information Officer (CIO).
OAG defends the state in litigation, engages in affirmative civil and criminal investigations and litigation, and serves as
the chief guardian of the legal rights of the citizens of New York, its businesses, and its natural resources. ITB has the
unique responsibility of supporting OAG as the People’s Lawyer in its many and varied initiatives, multiple locations, and
numerous platforms.
Duties:
AI and Data Strategy and Governance:
? 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, federal, and local regulations regarding data privacy (e.g., GDPR, CCPA), AI ethics, and records
management.
? Lead the creation and enforcement of best practices for data management, AI, and analytics across the
department.
? Ensure adherence to privacy and data protection laws, with a focus on secure management and handling of
sensitive data.
? Stay current with developments in AI, data science, legal tech, and records management practices, identifying
opportunities for the department to leverage new technologies and approaches.
? Serve as the primary point of contact for all AI and data governance issues, providing recommendations on data
usage, access, and integration across systems.
? 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, including monitoring resource allocation, ensuring that projects are completed on
time, within budget, and aligned with strategic objectives.
AI-Readiness, Solution Evaluation, and Recommendations:
? Evaluate current data capabilities and prepare the department for AI adoption by assessing AI-readiness,
identifying gaps, and implementing necessary infrastructure improvements.
? Conduct assessments and recommend AI tools and solutions to enhance decision-making, automation,
compliance, and operational efficiency within OAG.
? 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 IT 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, Cross-Department Collaboration, and Stakeholder Management:
? Lead, manage, and mentor a cross-functional team of AI experts, data scientists, data engineers, analysts, and
content/records management professionals.
? Collaborate with senior department leaders, legal teams, compliance officers, and external stakeholders to
identify opportunities for AI and data-driven innovation; this includes communicating complex AI and data
strategies to non-technical stakeholders, ensuring buy-in and alignment with department goals.
? Establish and co-lead an AI Center of Excellence to drive responsible AI adoption across OAG.
Required Qualifications:
? Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, Information Technology, or a related
field.
? At least ten (10) years of experience in AI, data science, and analytics with a demonstrated record of leading
complex data initiatives in the public or legal sector.
? At least five (5) years of experience leading and managing cross-functional teams, managing resources, and
cultivating a high-performance work environment.
? Strong ability to communicate technical concepts and data-driven insights to both technical and non-technical
stakeholders and translating business requirements into actionable AI/data science strategies while managing
risk and compliance.
? Extensive experience in content and records management, data classification, data governance frameworks, and
data sensitivity management particularly within regulated environments.
? In-depth knowledge of AI ethics, data privacy laws, security standards, records management regulations (e.g.,
FOIA, FERPA, HIPAA), and other regulatory requirements that are relevant to public-sector and legal data
management.
? Strong background in machine learning, data modeling, data architecture, and big data technologies.
? Up-to-date familiarity with numerous AI LLM’s and embedded AI enterprise solutions.
? Expertise in AI/ML algorithms, data analytics platforms, and emerging data science techniques.
? Experience with AI frameworks, machine learning tools, and cloud platforms (e.g., AWS, Azure, Google Cloud,
etc.).
? Availability for occasional travel for conferences, training, or stakeholder meetings is required.
Preferred Qualifications
? Master’s degree in a relevant field (e.g., Data Science, Business Analytics, Information Systems) is preferred.
? 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 $137,895 - $151,988. The final salary will be determined 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.
Candidates from diverse backgrounds are encouraged to apply. The OAG is an equal opportunity employer and is
committed to workplace diversity.