Data Expert - Enterprise Credit Portfolio Analytics

PNC•Cleveland, OH

2d•$65,000 - $172,250•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 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. The ideal candidate brings strong data and analytics expertise, a portfolio level mindset, and comfort working with modern tools and AI enabled capabilities. Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards. Develops strategies for data implementation, data acquisition, and archive recovery. Helps advise business, applications and operations counterparts to ensure data integrity and availability. Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units. Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses. Resolves data integration and security issues for adherence to the organization's quality standards. Researches customers needs, conducts awareness and promotional sessions for potential customers. 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.

Requirements

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
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.
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. 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.

Nice To Haves

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
Analytical Thinking
Competitive Advantages
Data Analytics
Data Mining
Data Science
Machine Learning (ML)
Application Design
Architecture
Business Intelligence
Data Architecture
Data Governance
Data Mining
Emerging Technologies
Informatics/Information Sciences
IT Standards, Procedures & Policies
Modeling: Data, Process, Events, Objects
Root Cause Analysis (RCA)

Responsibilities

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
Manages and develops information systems for clients
Conducts data information analysis for a variety of studies under the direction of organizational standards
Develops strategies for data implementation, data acquisition, and archive recovery
Helps advise business, applications and operations counterparts to ensure data integrity and availability
Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units
Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses
Resolves data integration and security issues for adherence to the organization's quality standards
Researches customers needs, conducts awareness and promotional sessions for potential customers

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.

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