Data Manager Senior - Data Products (Hadoop, AWS, Azure, Spark, Kafka)

About this role

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 Manager Senior within PNC's Data Product organization, you will be based in Pittsburgh, PA, Denver, CO, Dallas, TX or Philadelphia, PA.

We are seeking a highly accomplished Data Product Manager to lead the strategy, development, and delivery of enterprise-scale data, analytics, AI, and GenAI products that support retail banking portfolios, customer experiences, and operational decision-making. This role is responsible for defining product vision, establishing roadmaps, and driving the delivery of AI-ready data products, advanced analytics solutions, semantic data assets, and GenAI-enabled business capabilities.

The ideal candidate will combine strong product management expertise, deep understanding of data and analytics ecosystems, and experience delivering AI-powered business solutions. This individual will partner across business, technology, data science, architecture, and governance teams to deliver reusable, scalable, and highly interoperable data products that enable self-service analytics, intelligent automation, and agentic digital experiences across retail banking value streams.

Key Responsibilities: Define and execute the multi-year roadmap for enterprise data, analytics, and AI products aligned to retail banking portfolios, customer journeys, and process families. Design reusable, governed, and AI-ready data products that accelerate analytics, machine learning, GenAI adoption, and digital transformation initiatives. Design reusable and AI-ready data products aligned to the organizational structure of retail banking portfolios and associated process families. Develop highly interoperable data engineering and analytics artifacts spanning retail banking portfolios across structured, semi-structured, unstructured, and external data domains. Lead the delivery of diagnostic, predictive, and prescriptive analytics solutions supporting customer growth, operational efficiency, risk optimization, and revenue generation. Define enterprise standards for analytics products, model governance, explain ability, and business adoption. Define and deliver enterprise semantic layers that enable consistent KPI definitions, business metrics, and trusted analytical experiences. Lead strategy for enterprise business vocabularies, metadata management, taxonomies, ontologies, and knowledge graphs. Manage data product delivery across multiple agile teams within a matrixed organization. Drive end-to-end product execution from ideation, requirements, business

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.

Job Description • Manages all aspects of organizational data; establishes and maintains policies and procedures for planning, designing and maintaining an information bank to ensure that data services are delivered in a high-quality and profitable manner. • Provides senior leadership, direction and methodology for analysis, structure and storage of critical organizational data. • Oversees the integrity and maintenance of organizational data. • Monitors and reviews major organizational activities and goals to ensure important data needs are anticipated, and met. • Reviews and recommends policies and procedures for collecting and managing organization data.

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.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Designing, Data Mining, Data Science, Machine Learning (ML)

Competencies Business Intelligence, Data Administration, Data Architecture, Data Governance, Data Warehousing, Information Management, IT Standards, Procedures & Policies, Modeling: Data, Process, Events, Objects, Root Cause Analysis (RCA)

Work Experience Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry experience is typically 8+ years. At least 5 years of prior management experience is typi

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