Data Scientist Lead - Data & Automation - Responsible AI

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 Data Scientist Lead within PNC's 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 enterprise’s 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 enterprise’s 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. Job Description 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 PNC's Enterprise Risk Management Framework. Qualifications 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. Preferred Skills AI Risk Management, Analytical Thinking, Artificial Intelligence (AI), Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) 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. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. 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) Language Assessments   No Required or Preferred Language Assessments   Pay Transparency Base Salary: $112,000.00 – $228,000.00 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. Application Window Generally, this opening is expected to be posted for two business days from 09/23/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending