GenAI Data Scientist
Job
PNC Financial Services Group
Lakewood, CO (In Person)
$98,800 Salary, Full-Time
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Job Description
Position Overview 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(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of position]. Job Profile Position Overview 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.
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 inSTEM 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. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: 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.
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.
- $142,600 a year
- Full-time PNC Financial Services Group 8,772 reviews $55,000
- $142,600 a year
- Full-time Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve.
- Governance Operations plays a critical role in ensuring that Generative AI (GenAI) solutions are implemented in alignment with enterprise governance, risk, and control standards.
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 inSTEM 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. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: 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.
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.
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