Lead IT Architect

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Lead IT Architect

Job Summary

The Lead IT Architect is responsible for defining and driving technology strategy, architectural direction, AI-enabled engineering transformation, and solution design across a Value Stream and its Agile Release Train (ART). This role owns the architectural runway for the ART, ensuring teams have the technical direction, architecture patterns, technical enablers, architectural context, and future-state designs needed to deliver scalable, secure, resilient, and maintainable solutions.

Working closely with Engineering, Product Management, Enterprise Architecture, Security, Delivery Leadership, Shared Services organizations, and the CoverMyMeds AI Enablement team, this individual proactively identifies technology opportunities, architectural risks, modernization initiatives, and emerging engineering patterns before they impact delivery.

The ideal candidate combines deep technical expertise with strong leadership skills, communications skills, and a passion for architectural excellence, agentic engineering, AI-assisted software delivery, enterprise-scale software development, and continuous improvement.

Key Responsibilities

Architectural Runway & Value Stream Leadership

• Plan the architectural runway for an Agile Release Train (ART), proactively defining solution approaches, technical enablers, architecture patterns, dependencies, and future-state designs that enable teams across the Value Stream to deliver effectively at scale.
• Partner with Product Management, Engineering Leadership, and Enterprise Architecture to ensure upcoming features, epics, and initiatives have a clear architectural path prior to implementation.
• Develop and maintain technology and architecture roadmaps that support Value Stream objectives while balancing scalability, technical debt reduction, reliability, security, compliance, and delivery velocity.
• Identify capability gaps, modernization opportunities, architectural risks, and cross-team dependencies before they become delivery impediments.
• Establish architectural direction across multiple teams and applications, ensuring alignment on technology strategy and implementation approaches.
• Ensure teams are never waiting on architecture guidance, standards, patterns, technical decisions, architecture artifacts, or technical enablers required to execute delivery commitments.

AI & Agentic Engineering Leadership

• Partner with the CoverMyMeds AI Enablement team to evaluate, adopt, and operationalize AI-assisted software delivery practices across the ART.
• Serve as the primary architecture lead for AI adoption within the Value Stream, driving practical implementation of approved AI capabilities, tools, patterns, and engineering practices.
• Identify opportunities to improve engineering productivity, software quality, documentation, testing, knowledge management, architecture governance, operational support, and delivery effectiveness through AI-enabled workflows and automation.
• Develop adoption roadmaps and implementation plans that accelerate AI-assisted software delivery across engineering teams.
• Partner with Engineering Managers, Technical Leads, and development teams to increase adoption of AI-assisted development practices using platforms such as Microsoft Copilot, Claude, GitHub Copilot, and future enterprise-supported solutions.
• Define and maintain the architectural context, Architecture Decision Records (ADRs), repository standards, architecture artifacts, and knowledge-management practices required to effectively support agentic engineering.
• Drive adoption of architecture-as-code, AI-assisted documentation, automated architecture validation, and agent-enabled engineering workflows.
• Collaborate with the AI Enablement team to evaluate emerging agentic engineering capabilities and determine how they can be safely and effectively operationalized within the Value Stream.
• Serve as a champion for modern engineering practices and help teams evolve how software is designed, built, tested, documented, and supported.

Solution Architecture & Technical Design

• Lead the design of scalable, secure, resilient, and maintainable enterprise solutions.

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