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PNC

Senior Data Science Manager

PNC

. Build and lead the enterprise AI testing and evaluation function .

Posted 9/23/2026full-timeUnited StatesSenior💰 $123,200 - $251,680 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in AI testing and evaluation, with a strong focus on developing and enhancing testing frameworks for generative and agentic AI solutions. Proven leadership in managing teams of AI specialists and overseeing data-driven projects while ensuring compliance with AI performance and safety standards.

Highest-signal resume keywords
AI Testing And EvaluationPython ProficiencyMachine Learning ExpertiseData Science LeadershipAI Governance Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonData MiningMachine LearningData ModelingPrototypingQuery ToolsDatabase Access ToolsInformation CaptureAnalytical Project OversightTesting Methodologies
Soft Skills
Team LeadershipProblem-SolvingCommunicationMentoringCollaboration
Tools & Technologies
Microsoft StudioAgent BuilderAzure
Industry Keywords
AI GovernanceArtificial IntelligenceData AnalyticsResponsible AIModel Risk Management

Tech Stack

Tools & technologies
AzurePython

About the role

Key responsibilities & impact
  • Build and lead the enterprise AI testing and evaluation function
  • Design, execute, and continuously enhance testing frameworks for high-impact AI solutions
  • Own pre-deployment testing and post-deployment monitoring for generative and agentic AI solutions
  • Establish AI performance, risk, and safety standards with Model Risk Management
  • Define thresholds, monitoring criteria, and escalation triggers
  • Lead responses and escalations for AI-related risks and incidents
  • Execute mitigation and containment actions, including solution pausing, patching, or deployment suspension
  • Provide technical leadership for a team of AI specialists
  • Contribute hands-on to technical strategy, testing methodologies, and problem-solving
  • Lead day-to-day team activities as a people leader and AI evaluation subject matter expert
  • Oversee end-to-end analytical projects using structured and unstructured data
  • Provide leadership, direction, and methodology for Data Scientists developing models and data-driven solutions
  • Recruit, train, and develop Data Scientists
  • Work with executive leadership to identify data science project opportunities and plan budgets and scopes
  • Oversee relationships with Data Architects, Data Analysts, Data Engineers, and Visualization Experts

Requirements

What you’ll need
  • University / college degree typically required, or a comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree
  • Masters degree desirable
  • Typically 8+ years of industry experience
  • At least 5 years of prior management experience typically required
  • Strong proficiency in Python, Microsoft Studio, Agent Builder, and Azure
  • Knowledge of AI Governance, Artificial Intelligence, Data Analytics, Data Mining, Data Science, Machine Learning, and Responsible AI
  • Competency in Data Mining, Information Capture, Machine Learning, Data Modeling, Prototyping, and Query and Database Access Tools
  • No required certifications
  • No required licenses
  • No required or preferred language assessments
  • Must not require employment visa sponsorship; PNC will not provide sponsorship
  • Not eligible for STEM OPT

Benefits

Comp & perks
  • 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 plan
  • Stock purchase plan
  • Dependent care reimbursement account
  • Back-up child/elder care
  • Adoption, surrogacy, and doula reimbursement
  • Educational assistance, including select programs fully paid
  • 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
  • 15 to 25 vacation days each year, depending on career level
  • Additional time off based on years of service
  • Reasonable accommodations for applicants and employees with disabilities