Data Expert - Enterprise Portfolio Solutions (EPS)

PNC

Quick summary

Work type
On-site
Location
Pittsburgh, PAJacksonville, FLCleveland, OHTysons Corner, VAStrongsville, OH
Salary
$91,000–$202,800 / yr
Posted
3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $147k
$77k most similar roles pay here $226k

This role pays less than 64% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $147k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 176 open roles on FindRole.

Listed pay typically runs $86,250–$172,500 across 60 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Data Expert - Enterprise Portfolio Solutions (EPS)

As a Data Expert at PNC's Enterprise Portfolio Solutions (EPS) team, you will work closely with technology and engineering teams to deliver rapid, high-impact analytical solutions that support critical business decisions. Your day-to-day responsibilities include translating complex business questions into actionable analytics, developing prototypes, and deploying production-ready solutions within tight deadlines. You will leverage modern tools like Power BI and AI-enabled platforms to create scalable and practical solutions while ensuring data integrity and security. Ideal candidates have strong foundational expertise in data modeling and analysis, experience with low-code development environments, and a proven ability to work effectively in fast-paced, request-driven environments. This role requires a portfolio-level mindset and the capability to incorporate responsible use of AI technologies to enhance decision-making processes within commercial or credit portfolios.

What you'll do

  • Translate complex business questions into clear analytical approaches and insights.
  • Design and build analytics solutions, supporting their transition to production environments.
  • Partner with technology teams to develop and deploy analytical solutions efficiently.
  • Identify opportunities for process improvement through automation and modern tools.
  • Apply portfolio-level analysis to support credit and commercial decision-making processes.
  • Leverage AI-enabled features responsibly to enhance analytics and business workflows.

What we're looking for

  • Strong foundational expertise in data and analytics.
  • Proven ability to develop end-to-end analytical solutions.
  • Experience translating business context into effective analytical designs.
  • Hands-on experience with modern analytics and low-code platforms.
  • Demonstrated problem-solving skills in fast-paced environments.
  • Familiarity with AI-enabled tools and emerging technologies.
  • Background in banking, financial services, or related industries.

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