Position Overview

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 Science Group Manager within PNC's Technology organization, you will be based in Pittsburgh, PA or remote. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion.

We are seeking an experienced and visionary Data Product Leader to drive the strategy, development, and delivery of data products for PNC bank. You will be responsible for defining and executing a roadmap that leverages data and AI to solve business challenges, enhance customer experience, and create a competitive advantage within the financial services industry.
Key responsibilities:
• Define and Evangelize Data Product Vision and Strategy: Develop and communicate a clear vision for the bank's data product portfolio, aligned with overall business goals and regulatory requirements.
• Lead the Full Data Product Life Cycle: Drive the end-to-end development of data products, from ideation and requirements gathering to launch, adoption, and iteration.
• Translate Business Needs into Actionable Solutions: Partner with stakeholders across various lines of business (e.g., retail banking, wealth management, corporate and investment banking) to understand their data needs and translate them into concrete product requirements.
• Champion Data Quality and Governance: Ensure data products meet high standards of quality, reliability, security, and compliance with financial regulations and ethical data practices.
• Foster Cross-Functional Collaboration: Serve as a central hub, effectively bridging the gap between technical data teams (e.g., data engineers, data scientists) and business stakeholders.
• Build and Mentor a High-Performing Team: Recruit, develop, and manage a team of talented data product managers, fostering a culture of innovation and collaboration.
• Monitor Product Performance and Drive Improvement: Define and track key performance indicators (KPIs) to measure the success of data products and continuously iterate based on feedback and performance analysis.
• Stay Ahead of Industry Trends: Maintain a deep understanding of the latest advancements in data, analytics, AI, and related technologies within the financial services sector.

Preferred skills and experience:

• The ideal candidate will have some technical experience with microservices, Ping and Authentication
• Leads complex technical requirements and problem solving sessions.
• Leads refinement sessions on Agile crew, translating business requirements into technical requirements and breaking them down into small units of development work
• Collaborates with developers, testers, and other technical teams to address outstanding questions.
• Works closely with Product Owners, Project Managers and scrum masters to keep Jira board groomed.
• Collaborates with UI/UX team on design solutions.
• Ensures compliance with PQA requirements.

This role offers a unique opportunity to shape the future of data-driven innovation within PNC Technology. We are looking for a strategic thinker and a hands-on leader who can translate data into tangible business value and drive transformative change.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

This is a remote position. Work may be performed from a quiet, confidential space in a home location, approved by PNC. This position may not be available in all geographic locations.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

• Participates in analyzing business requirements and production specifications for changes made to technology applications.
• Formulates and defines the system scope and objectives, based on user needs and business processes .
• Directs business process improvement projects for internal business groups, aiming to improve business results .
• Identifies and documents all system constraints, implications and consequences of various proposed system changes .
• Provides recommendations for addressing and resolving business issues, for