AI Governance Senior Analyst

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 is 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.

Requirements

• 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.

Qualifications

• Bachelor's degree in related technical field required, Master's degree preferred.
• Minimum of 4 years of data-related work experience including at least 2 years as an analyst or lead within a data governance & quality function.