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The Enterprise Architect Lead, Digital Solutions is an individual contributor responsible for shaping and supporting the enterprise digital architecture that enables scalable, secure, and innovative digital solutions for US Oncology Practices. This role partners closely with senior leaders, business stakeholders, clinical teams, and technology teams to translate Practice strategy into well-defined architectural designs and roadmaps.
Key Role Success Metrics:
Unified enterprise architecture blueprint defined and maintained.
Multi-year digital roadmap developed and contributed to, with updates as needed.
Architecture governance consistently applied and reinforced across teams.
Modernization and interoperability improvements delivered through aligned initiatives.
Key Responsibilities:
Define and evolve enterprise digital architecture vision, principles, and roadmaps within established strategic direction.
Provide architectural leadership for major digital initiatives and platforms.
Advise senior leaders and stakeholders on technology tradeoffs, risks, and architectural impacts.
Ensure digital solutions are secure, scalable, interoperable, and compliant with enterprise and regulatory standards.
Establish and maintain reference architectures, patterns, and governance artifacts.
Mentor architects and technical team members through design guidance and best practices.
Role Characteristics:
Broad cross-domain scope with strong technical influence.
Operates effectively in complex problem spaces with evolving requirements.
Combines deep technical expertise with business understanding.
Recognized subject-matter expert contributing to cross-domain design decisions.
Minimum Qualifications:
Critical Experience/Skills:
10+ years in enterprise architecture or engineering leadership roles.
Expertise in cloud modernization, multi-tenant platforms, and large-scale system design.
Strong integration architecture background with APIs and interoperability standards.
Experience with data platforms, semantic layers, analytics, and governed access models.
Experience applying AI/ML to enterprise digital solutions and cloud-native AI services.
Preferred Experience/Skills:
Experience in oncology, clinical operations, or life sciences.
Certifications: TOGAF, AWS/Azure Architect.
Familiarity with clinical systems and oncology digital workflows preferred.
Travel:
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please
Our Base Pay Range for this position
$158,300 - $263,900
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McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson?s full Equal Employment Opportunity policies, visit our page.
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