Enterprise Architect (Enterprise Data Archtiect)

PNC•Pittsburgh, PA

1d•$65,000 - $171,925•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 Enterprise Architect within PNC's Enterprise Technology Architecture's organization, you will be based in Pittsburgh, PA or Strongsville, OH or Dallas, TX or Phoenix, AZ or Lakewood, CO. 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.

Requirements

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

Nice To Haves

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
Certifications in DCAM, CDMP, DMC, TOGAF, or SAFe are desirable but not required
Competitive Advantages, Customer Solutions, Design, Enterprise Architecture, Enterprise Architecture Framework, Enterprise Data Architecture, Machine Learning (ML), Risk Assessments, Technical Knowledge

Responsibilities

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
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
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
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
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
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
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.
Creates strategic roadmaps, and aligns these with enterprise strategies, business objectives, enterprise standards, processes and methodologies.
Analyzes enterprise capabilities and IT opportunities in enterprise business processes; provides resolutions for enterprise architecture improvements by utilizing new technological applications.
Enables businesses and technology partners to drive business outcomes by providing optimum IT solutions and capabilities while mitigating risk.
Works with other enterprise architecture staff, experts and decision makers to accurately define client requirements; provides ongoing support for data, applications and system client requests.

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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume