Data Scientist Lead - Data & Automation - Evaluation & Certification (Validation)

PNC Bank•Pittsburgh, PA

1d•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 Scientist Lead within PNC's Data & Automation — AI Governance & Oversight organization, you will be based in Pittsburgh PA, Strongsville, OH, Dallas, TX or Birmingham, AL. Key responsibilities in the role will include, but are not limited to: Serves as the accountable owner for the enterprise portfolio of AI solution validation and assurance activities. Evaluates AI solutions prior to release and makes certification and go/no-go decisions based on risk-aligned validation requirements and controls. Oversees post-deployment monitoring of AI performance, risk, and safety metrics, leading escalation, remediation, and issue resolution for threshold breaches. Partners closely with solution owners and delivery teams to ensure compliance with validation and governance requirements throughout the AI lifecycle while enabling timely delivery. Acts as a trusted advisor and authority on AI validation standards, driving consistent adherence to enterprise policies and risk management expectations. Operates as a senior individual contributor with enterprise-wide program leadership responsibilities and executive visibility. Influence and decision-making authority are derived from governance accountability and subject matter expertise rather than direct people management. 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.

Requirements

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.
Analytical Thinking
Data Analytics
Data Mining
Data Science
Machine Learning (ML)
Data Architecture
Data Mining
Disruptive Innovation
Information Capture
Machine Learning
Modeling: Data, Process, Events, Objects
Prototyping
Query and Database Access Tools

Nice To Haves

Competitive Advantages

Responsibilities

Serves as the accountable owner for the enterprise portfolio of AI solution validation and assurance activities.
Evaluates AI solutions prior to release and makes certification and go/no-go decisions based on risk-aligned validation requirements and controls.
Oversees post-deployment monitoring of AI performance, risk, and safety metrics, leading escalation, remediation, and issue resolution for threshold breaches.
Partners closely with solution owners and delivery teams to ensure compliance with validation and governance requirements throughout the AI lifecycle while enabling timely delivery.
Acts as a trusted advisor and authority on AI validation standards, driving consistent adherence to enterprise policies and risk management expectations.
Operates as a senior individual contributor with enterprise-wide program leadership responsibilities and executive visibility.
Directs and consults on analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
Directs the data gathering, data processing and data mining of large and complex datasets.
Provides deep technical expertise to advance the data science capabilities of analytics teams.
Serves as a representative of PNC; understands the needs and challenges PNC is facing and provides thought leadership around data science activities both internally and externally.
Supervises the implementation of advanced analytics projects, and as an expert in the field, helps other data scientists present the analytical processes and outcomes to management.
Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

Benefits

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
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.