Senior Data Manager – Retail Data Product Design

PNC

Data Manager Senior designing AI-ready data products for retail banking. Leading data strategy and overseeing organizational data integrity with senior leadership.

Posted 6/12/2026full-timeCincinnati • Colorado, Ohio, Pennsylvania, Texas • 🇺🇸 United StatesSenior💰 $123,200 - $274,560 per yearWebsite

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Hard Skills

Data AnalyticsData DesigningData MiningData ScienceMachine LearningBusiness IntelligenceData AdministrationData ArchitectureData GovernanceData Warehousing

Soft Skills

Analytical ThinkingCompetitive AdvantagesRoot Cause Analysis

Tools & Technologies

APIsInformation ManagementIT StandardsProceduresPolicies

Certifications & Qualifications

Masters degreePhDjob specific certification

Industry Keywords

retail bankingdata productsdigital transformationdata servicesorganizational datadata integritydata needsmodular data productsenterprise prioritiesresponsible AI

About the role

Key responsibilities & impact

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.
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.

Requirements

What you’ll need

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role.
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.

Benefits

Comp & perks

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