Data Science Manager Senior - Data, Model & Analytics. Wilmington LilyLifestyle

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, Model & Analytics Retail Lending Data Analytics organization, you will be based in Pittsburgh, PA, Cleveland, OH, Tysons Corner, VA 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.

• 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.

• 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.

Successful candidates must…