Solution Architect Sr - Strategy, Innovation and Delivery

Position Overview

Senior Solution Architect – PNC Technology organization. This senior‑level role is based in Pittsburgh, PA;
Birmingham, AL;
Dallas, TX;
Cleveland, OH; or Denver, CO. It focuses on strategy, architecture, and innovation across business, application, platform, integration, and data domains, with a working knowledge of AI/ML‑enabled capabilities where they support business outcomes.

Responsible for producing technology strategies, roadmaps, and solution architectures that drive transformation. The position partners with senior business and technology leaders, subject matter experts, and business architecture stakeholders to bridge current‑state needs with future‑state objectives, producing technology strategies, roadmaps, and solution architectures that drive transformation.

• Lead solution architecture across complex initiatives through requirements analysis, architectural leadership, and oversight of architecture outcomes across delivery phases.
• Design solution architectures for large or complex programs – including application, integration, data, and platform designs – in alignment with enterprise strategies, standards, and target‑state roadmaps.
• Develop and govern architecture patterns for APIs/integration, event/messaging, security, resiliency, and cloud adoption; ensure reuse and consistency across the portfolio.
• Define data architecture guidance (logical and physical models, canonical data structures, data domains, master/reference data, and lifecycle approaches) to support operational and analytical use cases.
• Provide architectural leadership for data platforms and ecosystems, such as data warehousing, data lakes/lake houses, analytical platforms, streaming architectures, and cloud‑native data services.
• Establish best practices for data modeling, data integration, data quality, metadata management, lineage, and retention – ensuring data is reliable, well‑governed, and fit for downstream analytics and automation.
• Partner with business, product, engineering, and analytics teams to ensure architectures support reporting, regulatory, operational, and advanced analytics needs, including developing reference architectures and reusable patterns.
• Advise delivery teams on architectural trade‑offs, solution options, platform capabilities, and engineering practices; support alignment on implementation approaches and technical standards.
• Ensure non‑functional requirements are addressed (scalability, performance, resiliency, observability, maintainability, security, privacy, and regulatory compliance) and apply appropriate architectural tactics.
• Align architecture with risk, governance, and control partners, ensuring solutions comply with enterprise security, privacy, data governance, and regulatory expectations.
• Communicate effectively with stakeholders to analyze business requirements, data needs, and processes; produce architecture recommendations that align business strategy with technology capabilities.
• Drive enterprise systems thinking, maintaining a broad understanding of application, infrastructure, integration, and data architectures and how they collectively enable business capabilities.
• Explore emerging technologies (e.g., cloud‑native services, modern integration approaches, data/analytics platforms, and AI‑enabled capabilities) and develop pragmatic viewpoints on where they create value and where they introduce risk.

• Ensure architectures support AI/analytics readiness, including data quality, timeliness, lineage, and availability for analytical and automation use cases.
• Understand common AI/ML platform concepts (model training/inference services, monitoring, feature engineering, and governance) sufficient to collaborate effectively with specialized teams.
• Partner with governance and risk stakeholders to promote responsible use of AI, including appropriate controls for security, privacy, auditability, and regulatory expectations.
• Apply solution architecture discipline to AI‑enabled components (service integration, secure access patterns, model monitoring, and operationalization…