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

PNC•Pittsburgh, PA

1d•$80,000 - $202,150•Onsite

About The Position

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.

Requirements

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.
Bachelors
No Required Certification(s)
No Required License(s)
No Required or Preferred Language Assessments

Nice To Haves

Analytical Thinking
Competitive Advantages
Data Analytics
Data Designing
Data Mining
Data Science
Machine Learning (ML)
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)
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 typically required.
In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

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.
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.

Benefits

medical/prescription drug coverage (with a Health Savings Account feature)
dental and vision options
employee and spouse/child life insurance
short and long-term disability protection
401(k) with PNC match
pension and stock purchase plans
dependent care reimbursement account
back-up child/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
a robust wellness program with financial incentives
maternity and/or parental leave
up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
between 15 to 25 vacation days each year, depending on career level; and years of service.