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Product Management Group Manager- Marketing Customer Analytics

Job in Tysons, Fairfax County, Virginia, USA
Listing for: PNC
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 175560 - 326040 USD Yearly USD 175560.00 326040.00 YEAR
Job Description & How to Apply Below
Product Management Group Manager
- Marketing Customer Analytics### Product Management Group Manager
- Marketing Customer Analytics Apply:
VA
- Tysons Corner:
IL
- Chicago:
PA
- Pittsburgh:
NY
- New York:
Full time:
Posted Today:
R239601#
** Position Overview
** At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are united in delivering the best experience for our customers while fostering an inclusive workplace where employees feel respected, valued, and empowered to contribute to our success. As a Product Management Group Manager within PNC's Data, Modeling & Marketing organization, you will be based in Pittsburgh, PA, New York, NY, Chicago, IL, or Tysons Corner, VA.
Within Data, Modeling & Marketing, the Marketing & Customer Analytics team is transforming how PNC uses data, advanced analytics, and AI to drive marketing performance and business growth. Our mission is to deepen customer understanding, prove and optimize the value of marketing investments, and enable more relevant, personalized customer experiences. We bring together measurement, decision science, customer analytics, data products, and AI-enabled capabilities to help Marketing make faster, smarter, and more impactful decisions.
This is a unique opportunity to help shape the future of Marketing Analytics by building the data and AI foundation that powers measurement, insights, decisioning, and activation across Marketing. This role will work closely with our Marketing Technology partners to lead the strategy, governance, and modernization of critical marketing data products, creating scalable, analytics-ready capabilities that enable advanced measurement, accelerate analytical innovation, and unlock emerging AI use cases.

Role Overview    As the Product Management Group Manager, Analytical Data & AI Enablement, you will lead the vision, strategy, and execution of the data products and capabilities that underpin PNC's Marketing Analytics ecosystem. You will partner across Marketing, Analytics, Data, and Technology to modernize how marketing data is structured, governed, and delivered, making high-quality, analytics-ready data easier to access and use across measurement, customer analytics, personalization, and AI applications.

The role will be instrumental in building a scalable, AI-enabled analytics ecosystem that improves speed to insight, strengthens marketing decision-making, and creates measurable business value.

Key Responsibilities:

• Define and execute the vision, strategy, and roadmap for Marketing Analytics data products.  
• Lead large-scale data modernization and transformation initiatives, including the evolution of the Marketing Data Layer.  
• Establish and maintain strong data governance, quality, operational reliability, and ownership frameworks.  
• Drive the adoption of AI, Generative AI, LLMs, AI agents, and conversational analytics through scalable data foundations.  
• Translate business and analytical needs into data product requirements and actionable delivery plans.  
• Partner with senior leaders across Business, Analytics, Data, Technology, and Marketing to align priorities and drive outcomes.  
• Lead and develop high-performing teams while fostering a culture of innovation, accountability, and continuous improvement.  
• Balance ongoing operational stability with long-term transformation and modernization efforts.

Preferred Experience &

Skills:

• Bachelor's degree in Business, Product Management, Data Analytics, Computer Science, Information Systems, Engineering, Statistics, Economics, or a related field (Master's degree preferred).  
• 10+ years of experience in Product Management, Data & Analytics, Data Products, Technology, Strategy, or related disciplines.  
•…
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