AI Governance Sr Associate

PwC•Cincinnati, OH

About The Position

At PwC, our audit and assurance professionals provide independent and objective assessments of financial statements, internal controls, and other assurable information to enhance credibility and reliability for stakeholders. They ensure compliance with regulations, including evaluating governance and risk management processes and controls. Those in data, analytics, and technology solutions assist clients in developing solutions that build trust, drive improvement, and detect, monitor, and predict risk. This involves using advanced analytics, data wrangling technology, and automation tools to leverage data, establish processes, and enable clients to make efficient, effective, and accurate decisions. As a Senior Associate, you are expected to build client connections, manage and inspire others, deepen technical expertise, and anticipate team and client needs. You will navigate complex situations, embrace ambiguity, and deliver quality. As part of the Audit and Assurance team, this role focuses on developing AI governance frameworks aligned with industry standards. You will manage projects assessing governance, risk, and control programs, and translate complex technical concepts for non-technical stakeholders, influencing AI practices and driving impactful organizational change.

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