Data Expert - Enterprise Credit Portfolio Analytics

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We work together each day to foster an inclusive workplace culture where all employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Expert within PNC's Enterprise Credit Portfolio Analytics organization, you will be based in Pittsburgh, PA, Cleveland, OH, Tysons Corner, VA, or Strongsville, OH.

The Enterprise Credit Portfolio Analytics team delivers rapid, high‑impact analytical solutions to support business decision making. This role focuses on translating incoming business requests into actionable analytics, partnering closely with technology teams, and delivering prototypes and production‑ready solutions within short timelines.

• Respond to incoming analytics and data requests with urgency, delivering solutions within defined timelines.
• Partner with technology and engineering teams to develop, refine, and deploy analytical solutions.
• Translate ambiguous business questions into clear analytical approaches and defensible insights.
• Design, build, and prototype analytics solutions, then support transition into production environments.
• Apply portfolio‑level analysis to support credit and commercial decision making.
• Identify opportunities to improve, automate, or reimagine existing analytics and business processes.
• Leverage modern analytics, low‑code, and automation tools to create scalable, practical solutions.
• Incorporate AI‑enabled features responsibly to enhance analytics, workflows, and decision support.
• Act as a trusted analytics partner and subject‑matter resource for stakeholders and team members.

• Strong foundational expertise in data and analytics, including data sourcing, modeling, and analysis.
• Proven ability to develop end‑to‑end analytical solutions from concept through production.
• Experience translating business context, intent, and constraints into effective analytical designs.
• Hands‑on experience with modern analytics and low‑code platforms (e.g., Power BI, Power Apps, workflow or automation tools).
• Demonstrated problem‑solving skills with a context‑driven, business‑first approach.
• Ability to work effectively in fast‑paced, request‑driven environments.

• Experience working with enterprise or portfolio‑level data, preferably in commercial or credit portfolios.
• Background in banking, financial services, or related industries (experience in other industries also considered).
• Familiarity with AI‑enabled tools and emerging technologies, including Copilot, AI Builder, or similar platforms.
• Exposure to agentic or semi‑autonomous AI concepts and their responsible application to business problems.

Base Salary: $65,000.00 - $ (may vary by geographic location, market data, and individual skills, experience, and education).

• Medical/prescription drug coverage with Health Savings Account option.
• 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; backup child/elder care; adoption, surrogacy, and doula reimbursement.
• Educational assistance including select fully paid programs.
• Robust wellness program with financial incentives.
• Paid time off: maternity/parental leave; up to 11 paid holidays; occasional absence days; 15–25 vacation days per year.

If an accommodation is required to participate in the application process, please contact  Applicants may also call 877‑968‑7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and used only to the extent required to provide reasonable accommodations.

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 FDIA and, for any registered role, the SAFE Act and/or FINRA prohibitions on hiring individuals with certain criminal history.