GenAI Data Scientist

Position Overview

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 role is responsible for ensuring that Generative AI (GenAI) solutions are implemented in alignment with enterprise governance, risk, and control standards.

• 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.

• Identify, document, and articulate risk exposures, control gaps, and deficiencies, differentiating 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.

• 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.

• 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.

• 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.

• 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

• AI Governance
• Analytical Thinking
• Competitive Advantages
• Control Assessment
• Data Analytics
• Data Mining
• Data Science
• Machine Learning (ML)
• Machine Learning Methods
• Model Risk Competencies
• Data Architecture
• Disruptive Innovation
• Information Capture
• Modeling:
  Data, Process, Events, Objects, Prototyping, Query and Database Access Tools

• University/college degree with 3+ years of relevant direct industry experience.
• Master’s degree preferred but not required.
• Certifications desired; in lieu of a degree, a comparable combination of education, job‑specific certification(s), and experience (including military service) may be considered.

Base Salary: $55,000.00 – $. Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

• Medical/prescription drug coverage (with a Health Savings Account feature)
• Dental and vision options
• Employee and spouse/child life insurance
• Short and long‑term disability protection
• 401(k) with PNC match, pension and stock purchase plans
• Dependent care reimbursement account; back‑up child/elder care; adoption, surrogacy, and doula reimbursement
• Educational assistance, including select programs fully paid
• A robust…