Data Scientist Lead Data & Automation Responsible AI

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 companys success.

As a Data Scientist Lead within PNCs Data & Automation - AI Governance & Oversight organization you will be based in Pittsburgh PA Strongsville OH Dallas TX or Birmingham AL.

Key responsibilities in the role will include but are not limited to:

Serves as the steward of the enterprises Responsible AI principles providing oversight for their interpretation implementation and ongoing evolution across the organization.
Leads the operations of the cross-functional Responsible AI Governance Forum including agenda development stakeholder engagement decision tracking and preparation of the enterprises annual Responsible AI report.
Partners with HR Ethics Compliance and other key stakeholders to define and drive enterprise-wide adoption of Responsible and Ethical AI practices including training requirements and AI use case engagement processes.
Reviews proposed and deployed AI solutions to ensure alignment with Responsible AI principles identifies potential risks and provides recommendations or escalates concerns as needed.
Coordinates external academic research partnerships focused on advancing responsible and ethical AI practices within the financial services industry.
Builds and maintains strong relationships with senior leaders across the organization facilitating discussions driving alignment and coordinating initiatives involving multiple executive stakeholders.
Effectively communicates complex AI governance risk and compliance topics to executive audiences through presentations briefings and leadership-level discussions.
Develops and delivers polished executive presentations reports and communications to support governance forums strategic decision-making and enterprise AI initiatives.
Demonstrates exceptional executive presence influencing skills and the ability to engage confidently with leaders at all levels of the organization.

Candidates should be proficient in Microsoft Suite and preferred proficiencies include: Power BI and Python.

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.

• Directs and consults on analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
• Directs the data gathering data processing and data mining of large and complex datasets. Provides deep technical expertise to advance the data science capabilities of analytics teams.
• Serves as a representative of PNC; understands the needs and challenges PNC is facing and provides thought leadership around data science activities both internally and externally.
• Supervises the implementation of advanced analytics projects and as an expert in the field helps other data scientists present the analytical processes and outcomes to management.
• Partners 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 PNCs Enterprise Risk Management Framework.

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.

AI Risk Management Analytical Thinking Artificial Intelligence (AI) Competitive Advantages Data Analytics Data Mining Data Science Machine Learning (ML)

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

Roles at this level typically require a university / college degree. Higher level education such as a Masters degree PhD or certifications is desirable. Industry relevant experience is typically 8 years. Specific certifications are often lieu of a degree a comparable combination of education job specific certification(s) and experience (including military service) may be considered.

Masters

No Required Certification(s)

No Required License(s)

No Required or Preferred Language Assessments

Base Salary: $112000.00 $228000.00

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.

Generally this opening is expected to be posted for two business days from 09/23/2026 although it may be longer with business discretion.

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.

If an accommodation is required to participate in the application process please contact us via email at . Please include accommodation request in the subject line title and be sure to include your name the job ID and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say Workday for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

PNC provides equal employment opportunity to qualified persons regardless of race color sex religion national origin age sexual orientation gender identity disability veteran status or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and for any registered role the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA) which prohibit the hiring of individuals with certain criminal history.

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.