AI Governance Sr Associate

PricewaterhouseCoopers•Raleigh, NY

18h

About The Position

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. As part of the Audit and Assurance team, you will focus on developing AI governance frameworks that align with industry standards. As a Senior Associate, you will manage projects that assess governance, risk, and control programs while translating complex technical concepts for non-technical stakeholders. This role presents a unique opportunity to influence AI practices and drive impactful change within the organization.

Requirements

Bachelor's Degree
At least 2 years of experience

Nice To Haves

Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, Statistics, Management Information Systems & Accounting, Finance & Technology, Business Administration/Management, Accounting & Technology, Regulatory Compliance, or Public Policy Analysis preferred
Experience in AI/ML risk management, controls testing, or audit related to AI, analytics, or information systems, governance or compliance roles focused on AI, emerging technology, or digital systems
Experience with model evaluation frameworks and testing protocols
Familiarity with data science and AI lifecycle
Leveraging understanding of technological risks and internal controls
Knowledge of NIST, ISO and other risk management frameworks
Designing AI governance operating models and policies
Translating technical concepts for non-technical stakeholders
Managing projects assessing governance, risk, and control programs
Subject matter knowledge to support thought leadership