Lead Data Scientist – Data & Automation, Responsible AI

PNC

. Steward the enterprise’s Responsible AI principles and oversee their interpretation, implementation, and evolution .

Posted 9/23/2026full-timeUnited StatesSenior💰 $112,000 - $228,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Responsible AI principles, AI risk management, and data analytics, while effectively communicating complex governance topics to executive stakeholders. Proven ability to lead cross-functional initiatives and develop data-driven solutions in collaboration with technical teams.

Highest-signal resume keywords

Responsible AI GovernanceAI Risk ManagementData AnalyticsPython ProficiencyPower BI Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningData MiningData ArchitectureData ModelingQuery/Database Access ToolsAnalytical Project DirectionStakeholder EngagementAI Use Case Engagement ProcessesTechnical Expertise

Soft Skills

CommunicationRelationship BuildingLeadershipCollaborationProblem Solving

Tools & Technologies

Microsoft SuitePower BIPython

Industry Keywords

Responsible AIEthical AIFinancial ServicesGovernance ForumExecutive Presentations

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Steward the enterprise’s Responsible AI principles and oversee their interpretation, implementation, and evolution
Lead operations of the cross-functional Responsible AI Governance Forum
Develop agendas, engage stakeholders, track decisions, and prepare the annual Responsible AI report
Partner with HR, Ethics, Compliance, and other stakeholders to drive adoption of Responsible and Ethical AI practices
Define training requirements and AI use case engagement processes
Review proposed and deployed AI solutions for alignment with Responsible AI principles
Identify AI risks, provide recommendations, and escalate concerns as needed
Coordinate external academic research partnerships on responsible and ethical AI in financial services
Build relationships with senior leaders and coordinate initiatives involving executive stakeholders
Communicate complex AI governance, risk, and compliance topics to executive audiences
Develop executive presentations, reports, and communications for governance forums and strategic decisions
Direct analytical projects using structured and unstructured data to extract business insights
Direct data gathering, processing, and mining of large and complex datasets
Provide technical expertise to advance data science capabilities
Supervise advanced analytics projects and help data scientists present analytical processes and outcomes
Partner with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to develop data-driven solutions

Requirements

What you’ll need

University / college degree typically required for roles at this level
Master's degree listed under Education
8+ years of industry-relevant experience typically required
Comparable combination of education, job-specific certification(s), and experience, including military service, may be considered in lieu of a degree
Proficiency in Microsoft Suite
Preferred proficiency in Power BI and Python
Knowledge of AI risk management, artificial intelligence, data analytics, data mining, data science, and machine learning
Competencies in data architecture, modeling, prototyping, and query/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 or participate in 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
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 and years of service
Reasonable accommodations for applicants and qualified individuals with disabilities