Data Science Manager Senior - Data, Modeling & Analytics

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 Science Manager Senior within PNC's Data, Modeling & Analytics Retail Lending Data Analytics organization, you will be based in Pittsburgh, PA, Cleveland, OH, Tysons Corner, VA, East Brunswick, NJ, New York or Wilmington, DE. Role Overview This Data Science Manager Senior role focuses on delivering decision ready insight through Descriptive ('what happened?') and Diagnostic ('why did it happen?') Analytics, with concrete outputs such as executive dashboards, KPI frameworks, trend and cohort analyses, drill downs, segmentation, driver analysis, and root cause investigations. The role is accountable for translating complex data into clear performance narratives by defining standardized metrics, ensuring data quality and lineage, and embedding analyses into scalable BI assets rather than ad hoc reporting. As needed, the role performs Prescriptive Analytics ('what should we do?') by turning findings into decision recommendations through scenario analysis, sensitivity testing, and practical optimization or decision models, and by operationalizing insights into dashboards, alerts, and playbooks. Predictive Analytics ('what will happen?') is in scope but not required, with forecasting, risk or propensity scoring, and applied machine learning viewed as nice to have capabilities. The manager leads and prioritizes an analytics roadmap, coaches analysts and data scientists, and promotes disciplined use of tools such as SQL, Python, modern BI platforms, cloud data technologies, Git, and applied statistics. Strong partnership with product, operations, risk, and business leaders is essential to frame the right questions and deliver executive ready storytelling that connects analysis to action. The role enforces data governance, documentation, and audit ready practices, ensuring metric consistency and trusted reporting across teams. An experiment and measurement mindset is expected, applying test and learn or A/B testing to evaluate impact. Any models or advanced techniques used are monitored for performance, reliability, and fairness, with assumptions and limitations communicated transparently. Job Description Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. Provides leadership, direction and methodology for Data Scientists to create appropriate models and data-driven solutions for the business. Recruits, trains, and develops best-in-class Data Scientists. Works with executive leadership to identify data science project opportunities and assists in planning activities including budget and scope determination. Oversees relationship with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. Preferred Skills & Experience Proven experience delivering Descriptive and Diagnostic Analytics, including KPI frameworks, executive dashboards, trend/cohort analysis, segmentation, driver analysis, and root‑cause investigations that inform business decisions. Strong capability to translate analytical findings into Prescriptive Analytics, such as clear decision recommendations, scenario and sensitivity analysis, and practical optimization or decision models embedded into dashboards, alerts, or playbooks. Demonstrated people and delivery leadership, including owning and prioritizing an analytics roadmap, coaching analysts and data scientists, setting analytical standards, and ensuring consistent, high impact outcomes. Hands‑on proficiency with SQL, Python, BI visualization tools (e.g., Tableau & Plotly), cloud data platforms, Git, and applied statistics, along with a strong foundation in data quality, metric definition, governance, documentation, and experimental or test‑and‑learn approaches. Preferred Skills Analytical Thinking Competitive Advantages Data Analytics Data Mining Data Science Machine Learning (ML) Competencies 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 experience is typically 8+ years. At least 5 years of prior management experience is typically 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 Pay Transparency Base Salary: $123,200.00 - $251,680.00 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. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at View email address on click.appcast.io. 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 View phone number on click.appcast.io 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. Equal Employment Opportunity (EEO) 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. 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