Position Overview

An Enterprise Architect Sr position that collaborates with key data and technology stakeholders to build out the enterprise data architecture practice. The objective is to execute PNC’s data strategy by establishing data architecture models and standards that enable data observability, interchangeability, integrity, confidentiality, and availability.

This senior-level role requires leadership skills and creative-thinking as well as hands-on expertise to guide teams to build out the semantic and object standards that are the foundation for data taxonomies, data models, data flows, lineage diagrams, and entity relationship models.
This role operates within a TOGAF-oriented Enterprise Architecture practice that is accountable for producing and maintaining enterprise data architecture artifacts, supporting architecture governance, and guiding data related decisions from strategy through implementation.

Key deliverables, in partnership with the other stakeholders are:
Strategy:
• Build strategies that guide business and technology leaders that meet data technologies needs
• Create usable architecture artifacts that measure and demonstrate progress against a strategy
• Guide stakeholders with their data priorities by developing metrics ensuring objectives are met
• Measure progress against strategic data objectives and produce results analysis with follow-up
• Articulate the business impact of complex data flows and data duplication decision making
Architecture:
• Create data reference architectures that establish data consumption standards and patterns
• Identify and document data flows that form the basis for optimizing data lineage and retention
• Produce data architecture analysis with supporting artifacts for technology recommendations
• Develop architecture patterns that drive common data flows and standardized integration
• Identify, assess, and resolve complex data definitions and semantic structures inconsistencies
Modeling:
• Lead the development of data modeling standards, best practices, and guidelines
• Design data entity and flow models that enable operational reporting, analytics, and modeling
• Lead the development, standardization, and evolution of canonical and conceptual data models
• Maintain comprehensive inventory of contextual, conceptual, logical and physical data models
• Ensure data models comply with data architecture policies and standards with validation checks
Classification:
• Oversee metadata, master data, and reference data management to ensure data consistency
• Design ontologies and semantic models for driving the adoption of data mesh and virtualization
• Drive alignment of data ontologies and data semantics that support regulatory requirements
• Serve as the principal authority for metadata standards collaborating with Data Owners/Stewards
• Establish enterprise standards for ontology modeling, naming conventions, and data taxonomies
Collaboration:
• Work with enterprise and solution architects to implement data observability capabilities
• Work closely with data architects and guide how data products are aligned to the data standards
• Partner with architecture teams to align solution architectures with data architecture standards
• Champion the definition and adoption of semantic layers that drive remediation best practices
• Provide thought leadership and mentorship to translate complex data strategies and concepts
Governance:
• Measure progress against objectives with follow-up when results are or are not achieved
• Ensure adherence to best practices, data principles, and semantic data governance
• Establish and govern enterprise standards for ontology modeling and naming conventions
• Define auditability and traceability standards for financial and operational data with metrics
• Establish, document, and maintain governance practices for data modeling and architecture
Some key desired skills:
• Enterprise systems thinking & broad understanding of managing to a capability model
• Strategic thinking and planning with a proactive approach to anticipate their needs and objectives
• Experience on large strategic transformation programs
• Experience working in financial services organizations with AI and Cloud technologies
• Personal skills: Communication, Relationship Building, Collaboration, Influencing
• Certifications in DCAM, CDMP, DMC, TOGAF, or SAFe are desirable but not required

Individual Contributor

Qualifications
• TOGAF certification or equivalent enterprise architecture experience
• Experience in large, complex enterprise environments
• Familiarity with both operational and analytical data platforms

Preferred Skills
• Hands-on experience executing Data Architecture within a TOGAF or TOGAF-like EA framework
• Strong understanding of baseline/target architecture, gap analysis, and transition planning
• Experience working within formal architecture governance processes
• Ability to translate business needs into data architecture outcomes
• Strong written and verbal communication skills
• Proven ability to influence decisions without direct authority

Competencies
• Conceptual, logical, and physical data modeling
• Data lifecycle management and data integration patterns
• Metadata, lineage, and data quality concepts
• Data security, privacy, and classification principles
• Master and reference data concepts

How This Role Is Measured
• Quality, clarity, and usability of data architecture deliverables
• Alignment of solutions to approved data architecture
• Effectiveness of collaboration with architecture and delivery teams
• Ability to support business outcomes through data architecture decisions

Work Experience
Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, or PhD is desirable. Industry experience is typically 8 + years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered

Job Description

• Provides subject matter expertise for enterprise architecture, enterprise architecture teams, and clients. Guides on enterprise architecture projects and business relationship management. Creates strategic roadmaps for transitioning to target enterprise future state, in alignment with business and technology goals while analyzing client requirements and collaborating with R&D divisions to provide ongoing support.
• Leads in the implementation of enterprise architecture strategies and best practices to support business objectives, while focusing on enterprise standards, processes, and methodologies.
• Provides guidance to enterprise architects on defining technical service capabilities, design attributes, draft enterprise profiles and segment architecture; controls risks and solves complex issues related to enterprise architecture.
• Maintains relationships with stakeholders, addresses stakeholder requirements and provides clients consultations to shape the future success of enterprise architecture while also mitigating risk.
• Provides enterprise architecture support by directing teams in baseline, target and roadmap development, transition planning, system and security management and segment architecture.

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.

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 SkillsCompetitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Enterprise Data, Enterprise Data Architecture, Machine Learning (ML), Risk Assessments, Technical Knowledge

CompetenciesDecision Making and Critical Thinking, Emerging Technologies, Enterprise IT Architecture, Industry Knowledge, IT Architecture, Organizational Leadership, Service Oriented Architecture Technologies, Strategic Thinking, The Open Group Architecture Framework (TOGAF)

Work ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

EducationBachelors

CertificationsNo Required Certification(s)

LicensesNo Required License(s)

Pay Transparency

Base Salary: $80,000.00 – $185,150.00