Data Manager Senior - Data Engineering and Real-time Data Platforms (Apache, Kafka)

Data Manager Senior

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 Engineering Leader to lead the design, development, and delivery of enterprise-scale data products and platforms that power analytics, AI/ML, and digital experiences across retail banking and financial services portfolios. This role is responsible for driving strategy, architecture, and execution of real-time streaming and batch data engineering solutions, with a strong emphasis on Kafka-based event-driven architectures, cloud-native platforms, and AI-ready data products.

The ideal candidate will combine deep technical expertise with strong people leadership, guiding a diverse team of engineers, architects, and product stakeholders to build scalable, secure, and highly interoperable data solutions that enable near real-time decisioning, self-service analytics, and future AI capabilities.

Key Responsibilities:

• Lead and manage teams responsible for streaming, batch, big data, graph, and cloud-based data engineering solutions.
• Define and execute the multi-year roadmap for enterprise data products, ensuring alignment with business strategy, AI initiatives, and organizational priorities.
• Architect and deliver near real-time data platforms using Apache Kafka and event-driven design patterns.
• Design high-throughput, low-latency data pipelines supporting operational, analytical, and AI-driven use cases.
• Establish Kafka standards for event modeling, schema management, stream processing, governance, observability, and platform reliability.
• Design and build reusable, AI-ready data products aligned to retail banking portfolios, business domains, and process families.
• Develop interoperable data assets that span structured, semi-structured, unstructured, and graph-based data environments.

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.