Lead IT Architect

Our Base Pay Range for this position

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McKesson is an Equal Opportunity Employer

Requirements

• Degree or equivalent and typically requires 10+ years of relevant experience. Less years required if has relevant Master’s or Doctorate qualifications.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent combination of education and experience.
• 12+ years of experience in architecture, software engineering, or senior technical leadership roles.
• 8+ years of experience working within software development organizations and modern delivery environments.
• 3+ years of experience defining architecture strategy across multiple products, platforms, programs, or value streams.
• Experience establishing and governing architecture standards adopted by independent product or engineering teams.
• Demonstrated success designing and delivering large-scale distributed systems and cloud-native solutions.
• Experience with microservices, RESTful APIs, event-driven architectures, and enterprise integration patterns.
• Experience developing architecture roadmaps and managing architectural dependencies across multiple teams.
• Experience presenting technology strategies, recommendations, and tradeoffs to senior leadership.
• Experience within healthcare, pharmacy, payer, provider, or other regulated technology environments.
• Experience participating in large-scale planning activities and translating business strategy into technology roadmaps.
• Experience designing systems that manage regulated or sensitive data.
• Working knowledge of healthcare interoperability and compliance standards, including FHIR and HIPAA.
• Demonstrated ability to influence technical decisions across teams without direct management authority.
• Experience working within SAFe or other scaled agile frameworks.
• Knowledge of NCPDP standards and healthcare interoperability ecosystems.
• Experience creating shared platforms or reusable enterprise capabilities used across multiple product teams.
• Experience overseeing architecture deliverables from vendors, consulting partners, or systems integrators.
• Familiarity with AI-enabled product features, AI-assisted development tools, and governance considerations related to AI adoption.
• Experience mentoring architects and developing architecture communities of practice.