CO Salary Range:

USD 80,000.00

202,150.

00 per year Job Profile 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 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. 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 typically required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s)

Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary:

$80,000.00

$202,150.

00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 04/14/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: 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. In addition, PNC generally provides the following paid time off, depending on your eligibility: 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. To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include 'accommodation request' in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say \"Workday\" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. 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Data Manager Senior - Data Engineering and Real-time Data Platforms (Apache, Kafka)