Senior Data & AI Governance Analyst

**Power the Future of New York** At the New York Power Authority, we’re not just part of the energy landscape—we’re leading the charge toward a carbon‑free, resilient, and economically vibrant New York. Our work keeps the state moving, innovating, and thriving.

Summary The Senior Data & AI Governance Analyst is responsible for helping develop and implement AI governance practices to promote secure, compliant, and ethical use of artificial intelligence throughout the organization. This role sits in the Data Governance and Quality team, and supports the organization by working closely with business stakeholders to ensure that AI Governance policy and rules are in place whenever data touches AI.

In this position, you will help steer NYPA’s AI governance efforts by creating and applying robust frameworks applied to Data & AI initiatives, that follow current standards, while supporting ongoing innovation within AI projects and the evolution of AI capabilities. You will:

• Work closely with business stakeholders to evaluate AI use cases to ensure data is governed appropriately.
• Develop the AI governance framework, focusing on data privacy, security, reducing bias, promoting transparency and accountability, and ensuring compliance with regulations.
• Facilitate discussions on AI governance with stakeholders
• Stay abreast of advancements in AI technology and governance best practices

The ideal candidate will have a background in data governance, along with experience working with data use cases where AI is involved. They can work seamlessly across all levels of the organization, collaborating with business, technology, cybersecurity, compliance, and data governance partners to balance business needs with governance, security, and data protection requirements.

They are comfortable navigating ambiguity and excel at creating structure in new, evolving spaces. As this is a newly created role, the candidate will help shape foundational processes, frameworks, and operating models aligned with emerging AI policies, governance principles, and risk‑management practices.

Responsibilities

• Participate in the formulation, development, revision, and implementation of Authority AI policies and standards of practice, directly in cooperation with various stakeholders.
• Maintain and implement the department’s AI governance framework that addresses data privacy, security, bias mitigation, transparency, accountability, and regulatory compliance.
• Analyze and evaluate artificial intelligence usage and requests in the department and make recommendations for improvements and optimization.
• Maintain AI system inventory / registry/ models through AI Governance Tools/Technology
• Manage projects focused on governance, risk, and control assessments to ensure data it AI ready
• Collaborate with data engineers, software developers, and other IT professionals to ensure proper implementation of AI models and to integrate AI governance principles into all stages of AI lifecycle management
• Manage the development and operations of the Data Catalog, Business Glossary and various Data Governance & Quality processes.
• Lead training, communication and enterprise-wide education on Data Governance & Quality best practices, and the enablement of new policies, procedures & frameworks.
• Collaborate with business units to understand their data needs and identify data requirements including business rules/controls, metrics, and targets for various datasets.

Knowledge, Skills And Abilities

• Working knowledge of Data Quality tools such as Trillium, Ataccama, or other such tools.
• Working knowledge of Data Governance, Data Quality and Data Lineage concepts.
• Proficiency in programming Languages including Structured Query Language (SQL), Python (or other scripted language), and ETL frameworks.
• Strong understanding and hands-on experience of Data Governance & Quality domains such as metadata management, master data management, data quality, data stewardship and/or data protection.
• Strong communication skills with the ability to interact with diverse audience across business and technical teams, and the confidence to present to senior leaders.
• Strong organizational skills with the ability to prioritize and execute tasks across multiple projects with tight deadlines and aggressive goals.

**Education, Experience and Certifications**

• Bachelor’s degree in related technical field required, Master’s…