Data Science Manager Senior

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 Manager Sr within PNC's Data & Automation - AI Governance and Oversight organization, you will be based in Pittsburgh PA, Strongsville, OH, Dallas TX or Birmingham AL. Key responsibilities of the role include, but are not limited to: Builds and leads the enterprise AI testing and evaluation function, overseeing the design, execution, and continuous enhancement of testing frameworks for high-impact AI solutions. Owns a critical component of the Bank’s AI risk management strategy, including pre-deployment testing and post-deployment monitoring for generative and agentic AI solutions. Establishes AI performance, risk, and safety standards in partnership with Model Risk Management, including defining thresholds, monitoring criteria, and escalation triggers. Leads the response and escalation process for AI-related risks and incidents, ensuring timely execution of mitigation and containment actions, including solution pausing, patching, or deployment suspension when necessary. Provides technical leadership for a team of AI specialists, fostering expertise, collaboration, and delivery excellence across testing and evaluation initiatives. Serves as a hands-on practitioner-leader, actively contributing to technical strategy, testing methodologies, and problem-solving while leading day-to-day team activities. Demonstrates the ability to balance strategic leadership with technical execution, operating as both a people leader and subject matter expert in AI evaluation and governance. Candidates should demonstrate strong proficiency in: Python, Microsoft Studio, Agent Builder, and Azure. 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. Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. Provides leadership, direction and methodology for Data Scientists to create appropriate models and data-driven solutions for the business. Recruits, trains, and develops best-in-class Data Scientists. Works with executive leadership to identify data science project opportunities and assists in planning activities including budget and scope determination. Oversees relationship with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. 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. PNC also has fundamental expectations of our people managers. As a manager of talent in PNC, you will be expected to: Include Intentionally - Cultivates diverse teams and inclusive workplaces to expand thinking. Live the Values - Role models our values with transparency and courage. Enable Change - Takes action to drive change and innovation that will transform our business. Achieve Results - Takes personal ownership to deliver results. Empowers and trusts others in decision making. Develop the Best - Raises the bar with every talent decision and guides the achievement of all employees and customers.

Requirements

Strong proficiency in Python, Microsoft Studio, Agent Builder, and Azure.
8+ years of industry experience.
At least 5 years of prior management experience.

Nice To Haves

AI Governance
Analytical Thinking
Artificial Intelligence (AI)
Competitive Advantages
Data Analytics
Data Mining
Data Science
Machine Learning (ML)
Responsible AI
Data Mining
Disruptive Innovation
Information Capture
Machine Learning
Modeling: Data, Process, Events, Objects
Prototyping
Query and Database Access Tools

Responsibilities

Builds and leads the enterprise AI testing and evaluation function, overseeing the design, execution, and continuous enhancement of testing frameworks for high-impact AI solutions.
Owns a critical component of the Bank’s AI risk management strategy, including pre-deployment testing and post-deployment monitoring for generative and agentic AI solutions.
Establishes AI performance, risk, and safety standards in partnership with Model Risk Management, including defining thresholds, monitoring criteria, and escalation triggers.
Leads the response and escalation process for AI-related risks and incidents, ensuring timely execution of mitigation and containment actions, including solution pausing, patching, or deployment suspension when necessary.
Provides technical leadership for a team of AI specialists, fostering expertise, collaboration, and delivery excellence across testing and evaluation initiatives.
Serves as a hands-on practitioner-leader, actively contributing to technical strategy, testing methodologies, and problem-solving while leading day-to-day team activities.
Demonstrates the ability to balance strategic leadership with technical execution, operating as both a people leader and subject matter expert in AI evaluation and governance.
Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
Provides leadership, direction and methodology for Data Scientists to create appropriate models and data-driven solutions for the business.
Recruits, trains, and develops best-in-class Data Scientists.
Works with executive leadership to identify data science project opportunities and assists in planning activities including budget and scope determination.
Oversees relationship 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