AI Governance Senior Analyst

Discover Your Potential at Whitley Penn•Plano, TX

1d•Hybrid

About The Position

Whitley Penn, one of the nation’s leading audit, tax, and advisory firms, is looking for an AI Governance Senior Analyst to join our team! The AI Governance Senior Analyst is responsible for the administration of the firm’s Artificial Intelligence (“AI”) tools and technologies, leading and executing the hands-on development, implementation, and continuous improvement of the firm’s AI governance framework and associated risk, compliance, and oversight processes. This role partners with Information Security, Technical Support, Legal, Risk, Compliance, and business unit stakeholders to ensure AI technologies are deployed in a manner that is secure, compliant, and aligned with the firm’s strategic objectives and client service standards. The ideal candidate must have significant security and compliance expertise, preferably in a regulated business environment or industry. Whitley Penn has become one of the fastest growing public accounting firms by providing exceptional, personalized service that reaches far beyond traditional accounting. In addition to Audit and Tax solutions, we offer a wide range of Advisory and Consulting services. We work in collaborative teams with an emphasis on an open-door policy, entrepreneurial thinking, and a well-built culture. At Whitley Penn, we learn, innovate, and achieve by sharing knowledge, embracing new ideas, and working together. We’re looking for professionals who think like owners and want to be part of shaping a high-growth firm.

Requirements

Bachelor's degree in Information Systems, Computer Science, Cybersecurity, or other related field.
Strong understanding and possible certifications in Microsoft 365, Copilot or Copilot Studio.
Working knowledge of AI/ML concepts including but not limited to model lifecycle, training data, bias, explainability, and privacy.
Ability to configure and operationalize governance controls for AI use cases in services such as Azure AI Foundry / Azure AI services, Azure Machine Learning, Microsoft Purview, Microsoft Entra ID, Azure Policy, and Copilot.
7+ years in information security, cybersecurity or compliance in a regulated business environment.
1+ year working with AI/ML systems, model risk, or emerging technology governance.
Strong understanding of risk management frameworks (NIST, ISO, SOC 2, etc.).
Strong understanding of data governance, classification and privacy principles.
Some experience creating governance dashboards, reporting metrics, and executive updates.
Detail-oriented with audit and documentation discipline.
Strong understanding of AI risk management frameworks (NIST AI RMF, OWASP Top 10 for Agentic Applications, ISO 42001) rather than normal risk frameworks.
Some knowledge of GLBA, SEC and FTC Safeguard Rules and related federal data regulations is a plus.

Responsibilities

Serve as the administrator for the firm’s AI platforms and tools.
Identify, assess, manage and help mitigate risk related to the firm’s usage of AI tools and technologies, including legal, regulatory, privacy, security, operational and reputational risks.
Work with data owners, IT, security, executive leadership and compliance teams to define data and security standards, and to ensure AI technologies are used and deployed in a manner that is secure, compliant, and aligned with firm policies.
Apply knowledge and understanding of AI control environments, governance principles and practices, and risk mitigation techniques to provide proper management of licensing, user access and permissions, settings, configurations, and policies in AI platforms and tools.
Execute to an AI enterprise wide plan aligned with business goals, client service delivery, operational efficiency, and innovation objectives.
Develop, implement, and enforce AI governance policies and procedures, prioritizing and managing multiple AI governance and transformation initiatives simultaneously.
Within the AI domain, develop, create, measure and maintain reporting, analytics, roadmaps, maturity models, and recommendations for leadership.