Data Manager Senior - Retail Data Product Design

PNCPhiladelphia, PA
$80,000 - $202,150Onsite

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. Responsibilities include: Design reusable and AI-ready data products aligned to the organizational structure of retail-banking portfolios and associated process families Define and lead the vision, strategy, and roadmap for reusable, AI‑ready retail banking data products that support consumer and small‑business banking. Align data product investments to enterprise priorities including personalization, automation, responsible AI, and digital transformation. Translate business capabilities into modular data products (datasets, features, semantic layers, APIs) designed for repeated use across channels and use cases. 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.

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)

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

  • 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.
  • Design reusable and AI-ready data products aligned to the organizational structure of retail-banking portfolios and associated process families
  • Define and lead the vision, strategy, and roadmap for reusable, AI‑ready retail banking data products that support consumer and small‑business banking.
  • Align data product investments to enterprise priorities including personalization, automation, responsible AI, and digital transformation.
  • Translate business capabilities into modular data products (datasets, features, semantic layers, APIs) designed for repeated use across channels and use cases.

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.
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