GenAI Data Scientist

GenAI Data Scientist – Governance Operations

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a GenAI Data Scientist within PNC's Data and Automation GenAI Governance organization, you will be based in Pittsburgh, PA, Strongsville, OH, Birmingham, AL, Dallas, TX, or Denver, CO.

The GenAI Data Scientist – Governance Operations plays a critical role in ensuring that Generative AI (GenAI) solutions are implemented in alignment with enterprise governance, risk, and control standards. This role is responsible for executing Standards of Care (SOC) evaluations for complex and high-impact GenAI use cases, assessing risk and control effectiveness, validating evidence, and providing actionable feedback to solution owners and governance stakeholders. This individual operates independently, applies strong judgment, and serves as a subject matter expert on GenAI governance execution, while also contributing insights to improve enterprise-level governance processes and tooling.

Core Responsibilities

• GenAI Governance Execution
• Independently execute GenAI Risk and Control Assessment evaluations for complex, high-impact, or novel AI use cases.
• Apply policy, procedure, and playbook requirements to SOC submissions, ensuring completeness, accuracy, and alignment to governance standards.
• Validate evidence sufficiency and quality, including documentation, artifacts, and controls supporting SOC submissions.
• Risk & Control Assessment
• Identify, document, and articulate risk exposures, control gaps, and deficiencies, using sound judgment to differentiate isolated issues from systemic governance concerns.
• Define and communicate remediation requirements and corrective actions aligned to enterprise standards.
• Perform qualitative and quantitative risk analysis, including control effectiveness and residual risk considerations.
• Stakeholder Engagement & Feedback
• Provide structured, actionable SOC feedback to solution owners, engineers, and governance stakeholders.
• Serve as a trusted subject matter expert (SME) on SOC execution standards, evaluation consistency, and appropriate SOC agent usage.
• Partner with cross-functional stakeholders (legal, compliance, security, data science, engineering) to drive timely remediation and risk resolution.
• Continuous Improvement & Portfolio Insights
• Contribute to the refinement of SOC processes, tools, frameworks, and documentation based on execution insights.
• Bridge individual use case execution to portfolio-level oversight, identifying trends, emerging risks, and recurring control weaknesses.
• Escalate systemic issues when analytics, execution data, or trend analysis indicate broader governance risk.
• Provide thought leadership on governance process improvements or intake optimizations that effectively reduce enterprise risk and operational burden.

Qualifications & Experience

• Experience in AI/ML or GenAI governance, model risk management, or technology risk management.

• Strong background in risk assessment, control evaluation, and issue remediation.

• Familiarity with enterprise governance frameworks and audit concepts.

• Ability to clearly articulate complex technical and governance concepts to non-technical stakeholders.

• Experience working in highly regulated or enterprise-scale environments preferred.

Tools & Technology

• Standard Microsoft productivity suite (Excel, PowerPoint, Word, Teams, SharePoint)

• Governance workflows, issue tracking, and documentation platforms

• Exposure to AI/ML lifecycle tooling and model documentation is a plus