Data Science Manager Senior - Data, Model & Analytics

PNC • Pittsburgh, PA

1d • $80,000 - $172,500 • Onsite

About The Position

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 or Cleveland, OH. 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.”

Requirements

• 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.
• Analytical Thinking
• Competitive Advantages
• Data Analytics
• Data Mining
• Data Science
• Machine Learning (ML)
• 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 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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 pncthrive.com.
• PNC’s total rewards package includes things like time off, benefits, learning and career development, wellness programs, recognition and much more.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager