Data Expert - Data Domain

PNC • Lakewood, CO

1d • $65,000 - $152,375 • 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 Technology organization, you will be based in Pittsburgh, PA or Denver, CO. As a Data Expert, you will play a critical role in defining data strategy, building foundational data quality capabilities, and driving meaningful improvements across the Technology organization. This role will focus on standing up a data quality platform and developing enterprise-level data quality rules. This role offers the flexibility to evolve and take on other high-impact initiatives such as tool integrations, pipeline modernization, and decommissioning non-authoritative or duplicative data sources to reduce complexity and storage costs. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. 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. For nearly 160 years, PNC has strived to make a meaningful impact for our employees, customers, communities, and shareholders. We believe our success and positive reputation are built on open and honest dialogue, an unwavering focus on smart risk management, relationship-based customer service and community investments. Our inclusive workplace allows our employees to be heard, valued, and developed to do their best work. Being a great place to work means we are making a lasting difference for everyone we serve. Check out the top reasons to join PNC. PNC’s total rewards package includes things like time off, benefits, learning and career development, wellness programs, recognition and much more. The benefits and programs highlighted below are just a sampling of what PNC offers its employees. To learn more, visit our Total Rewards page. If you're not ready to apply yet, or you'd like to learn more about PNC, join the Talent Community to receive regular updates on what's happening at PNC and available career opportunities. Click to join!

Requirements

• Strong proficiency in SQL with experience developing complex queries and data rules
• Hands-on experience with Python for data analysis or automation
• Experience working in AWS-based data environments
• Ability to build and interpret data visualizations for technical and non-technical audiences
• Experience working with data quality, data governance, or data platform development
• Comfortable with ambiguity and building processes from the ground up
• Strong collaborator who enjoys working across teams
• Strategic thinker who can balance immediate needs with long-term goals
• Passion for data, quality, and continuous improvement
• 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

• Analytical Thinking
• Competitive Advantages
• Data Analytics
• Data Mining
• Data Quality
• Data Science
• Machine Learning (ML)
• Platform Development
• Python (Programming Language)
• Structured Query Language (SQL)
• 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

• Design, build, and enhance a data quality platform to support Technology-wide data needs
• Develop, implement, and maintain data quality rules across multiple data sources
• Write and optimize complex SQL queries to support data validation and analysis
• Partner with technology teams and subject matter experts to define authoritative data sources
• Contribute to and influence Technology’s broader data strategy
• Support data pipeline development and tool integrations
• Identify and help decommission non-authoritative or duplicative data sources
• Improve data efficiency, scalability, and usability across the organization
• Create clear, insightful data visualizations to communicate findings and trends
• Collaborate within a Sub-Domain ownership model, partnering with SMEs across Technology

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees