GenAI Data Scientist

PNC•Strongsville, OH

1d•Onsite

About The Position

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.

Requirements

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
Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Masters
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.

Nice To Haves

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

Responsibilities

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, 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.
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.
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.

Benefits

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
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.