Solution Architect Sr - Strategy, Innovation and Delivery

Senior Solution Architect

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 Senior Solution Architect within PNC's Technology organization, you will be based in Pittsburgh, PA; Birmingham, AL; Dallas, TX; Cleveland, OH; or Denver, CO.

Role Summary: This senior-level position is responsible for strategy, architecture, and innovation spanning business, application, platform, integration, and data domains, with working knowledge of AI/ML-enabled capabilities where they support business outcomes. The role 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.

In this role, you will draw upon deep solution architecture experience to help stakeholders craft, communicate, and align on strategic perspectives, target-state designs, and delivery roadmaps. You will be expected to understand complex business processes, system interactions, and data flows, and to develop modern, scalable architectures that support large-scale transformation initiatives—including analytics, automation, and select AI-enabled products.

Key Responsibilities:

• Leads solution architecture across complex initiatives through requirements analysis, architectural leadership, and oversight of architecture outcomes across delivery phases.
• Designs solution architectures for large or complex programs—including application, integration, data, and platform designs—in alignment with enterprise strategies, standards, and target-state roadmaps.
• Develops and governs architecture patterns for APIs/integration, event/messaging, security, resiliency, and cloud adoption; ensures reuse and consistency across the portfolio.
• Defines 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.
• Provides architectural leadership for data platforms and ecosystems, such as data warehousing, data lakes/lakehouses, analytical platforms, streaming architectures, and cloud-native data services.
• Establishes 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.
• Partners 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.
• Advises delivery teams on architectural tradeoffs, solution options, platform capabilities, and engineering practices; supports alignment on implementation approaches and technical standards.
• Ensures non-functional requirements are addressed (scalability, performance, resiliency, observability, maintainability, security, privacy, and regulatory compliance), and applies appropriate architectural tactics to meet them.
• Aligns architecture with risk, governance, and control partners, ensuring solutions comply with enterprise security, privacy, data governance, and regulatory expectations.
• Communicates effectively with stakeholders to analyze business requirements, data needs, and processes; produces architecture recommendations that align business strategy with technology capabilities.
• Drives enterprise systems thinking, maintaining a broad understanding of application, infrastructure, integration, and data architectures and how they collectively enable business capabilities.
• Explores emerging technologies (e.g., cloud-native services, modern integration approaches, data/analytics platforms, and AI-enabled capabilities) and develops pragmatic viewpoints on where they create value and where they introduce risk.

AI/ML and Generative AI Enablement (as needed for modern architecture): While this is a traditional solution architecture role, candidates should have working knowledge and practical experience enabling AI/ML and/or Generative AI capabilities where they provide measurable business value. This includes:

• Ensuring architectures support AI/analytics readiness, including data quality, timeliness, lineage, and availability for analytical and automation use cases.
• Understanding common AI/ML platform concepts (e.g., model training/inference services, monitoring, feature engineering, and governance), sufficient to collaborate effectively with specialized teams.
• Partnering with governance and risk stakeholders to promote responsible use of AI, including appropriate controls for security, privacy, auditability, and regulatory expectations.
• Applying solution architecture discipline to AI-enabled components (e.g., service integration, secure access patterns, model monitoring, and operationalization considerations) when included in broader solutions.

Required Skills & Experience:

• Significant experience in solution architecture across application, integration, platform, and data domains in large-scale enterprise environments.
• Strong understanding of business architecture concepts, business capability mapping, and aligning technology solutions to business outcomes.
• Demonstrated ability to produce and govern architecture artifacts such as: target-state architectures and roadmaps, solution designs and integration patterns, reference architectures and reusable standards, decision records and risk/controls alignment documentation.
• Strong knowledge of integration patterns (API-led connectivity, event-driven architecture, messaging, batch/file transfer where needed), and platform considerations for scalability and resiliency.
• Solid understanding of data architecture and data management practices (modeling, data quality, lineage, metadata, retention, and governance).
• Working knowledge of cloud architectures and cloud-native services, including security and operational considerations.
• Strong consulting, communication, and stakeholder management skills; ability to drive alignment across diverse teams and leadership levels.
• Strategic mindset paired with delivery pragmatism—able to shape direction while supporting execution.

Leadership & Influence Expectations: This position is highly visible and influential, requiring the ability to be strategic, conscientious, and deliberate.

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.