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 Quantitative Analytics & Model Development Group Manager, Marketing Investment Decisions and Valuations within PNC's Marketing Analytics Center of Excellence, you will be based in Tysons Corner, VA, Pittsburgh, PA or Wilmington, DE. This position is primarily located in a PNC location. Responsibilities require time in the office or in the field on a regular basis.

PNC is seeking a strategic and analytically driven leader to lead Marketing Investment Decisions and Valuations across all product lines. This role will be responsible for optimizing marketing budgets across products, developing marketing stage valuation frameworks to be used for optimization, and aligning investment decisions with enterprise growth objectives. The ideal candidate will bring deep expertise in marketing analytics, financial modeling, valuations grounding, and cross-functional leadership to drive measurable impact across the organization.

Other primary responsibilities include the following:

Marketing Budget Optimization:
•Lead the development and execution of marketing budget allocation strategies across all products and channels.
•Partner with Finance, Product, and Marketing teams to ensure optimal ROI on marketing spend.
•Own budget planning process across entire Marketing organization.

Valuation Framework Development:
•Create and maintain standardized valuation methodologies.
•Align valuation models across product lines to ensure consistency and comparability.
•Integrate customer lifetime value (CLV), acquisition cost, and funnel metrics into valuation frameworks.

Investment Decision Support:
•Provide strategic guidance on marketing investment decisions using valuation insights.
•Present recommendations to senior leadership and influence enterprise-level budget planning.
•Monitor and report on the effectiveness of marketing investments and adjust strategies accordingly.
Investment Decision Support:
•Collaborate with Product, Finance, and Marketing teams to align on goals and execution.
•Serve as a thought leader in marketing analytics and investment strategy across the organization.

Preferred Competencies/Skills
•10+ years of experience in marketing analytics, investment strategy, or financial planning within a large organization.
•Bachelor’s degree in engineering, Marketing, Finance, Economics, or related field; MBA or advanced degree preferred.
•Familiarity with marketing attribution models and media mix modeling.
•Proficiency in data visualization (e.g., Tableau, Power BI) and analytical (e.g. SQL, R, Python) tools and software.
•Ability to translate complex data into actionable insights for non-technical audiences.
•Experience managing, leading, and empowering analytical teams.
•Proven track record of leading cross-functional initiatives and driving measurable business outcomes.
•Expertise in marketing performance metrics, financial modeling, and valuation techniques.
•Strong communication and presentation skills with executive-level stakeholders.
•Experience in financial services or regulated industries is a plus.

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

Job Description

• Directs strategies, initiatives and activities associated with developing, testing, and/or validation of quantitative models used for important business decisions and policies. Responsible for ensuring robust and comprehensive model review testing and analysis in accordance with all applicable review procedures and lifecycle standards.
• Establishes strategies and directs the activities needed to develop new model frameworks in support of the line of business.
• Directs complex qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Confirms the reviews of complex reports and associated quantitative analysis. Validates existing models and assesses model risks.
• Leads in evaluating identified model risks and reaches conclusions on strengths and limitations of the model. Ensures the preparation and analysis of detailed documents for validation and