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 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

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

• Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
• Participates in the data gathering, data processing and data mining of large and complex datasets.
• Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
• Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.
• May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills
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, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools

Work Experience
Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education
Masters

Certifications
No Required Certification(s)

Licenses
No Required License(s)

Pay Transparency

Base Salary: $55,000.00 - $142,600.00

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.

Application Window

Generally, this opening is expected to be posted for two business days from 04/29/2026, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: 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 wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.