Principal Enterprise Data Architect

Responsibilities

• Enterprise Data Architecture Strategy
• Define and maintain the enterprise data architecture vision aligned to business strategy and regulatory requirements
• Establish enterprise data architecture principles, standards, and reference models
• Own and evolve long range data architecture direction to support scalability and interoperability
• Define and own the enterprise semantic layer, including cross domain data models and standardized calculations to enable consistent reporting and analytics
• Architecture Governance and Decision Leadership
• Establish guardrails and decision frameworks that guide data architecture across domains
• Evaluate architectural risks and manage enterprise level exceptions
• Enterprise Alignment and Business Enablement
• Guide enterprise investment decisions based on architectural fit and sustainability
• Advisory, Influence, and Executive Communication
• Advise senior leaders on data architecture strategy and tradeoffs
• Communicate enterprise architecture direction to executive and technical audiences
• Architecture Practice Leadership and Mentorship
• Advance enterprise architecture maturity and consistency
• Innovation and Continuous Improvement
• Influence and set direction for enterprise data platforms and tooling
• Minimum Requirement - Degree or equivalent and typically requires 13+ years, with 8+ years, of direct work related experience. Less years required if has relevant Master's or Doctorate qualifications.
• Physical Requirements: General Office Demands, We are Flex and Connect with 2 days a week in office
• Critical Skills:
• Expert knowledge of enterprise data architecture and information architecture
• Experience operating in regulated environments with strong governance requirements
• Demonstrated success defining and governing enterprise wide architecture strategy
• Experience leading architectural governance and influencing large scale transformation
• Establish decision frameworks that integrate data, architecture standards, non functional requirements, risk, and policy into intake outcomes
• Partner with Security, Data, Platform, and Delivery leaders to ensure intake decisions reflect enterprise priorities
• Define the data architecture that underpins intelligent intake, including data capture, enrichment, and context required for AI driven triage and routing
• Candidate must be authorized to work in the Canada, now or in the future, without the support from McKesson.
• Our Base Pay Range for this position
• $149,600 - $199,500

Benefits

Additional Information

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. Position Summary (Purpose of Job) The Enterprise Data Architect Level 6 serves as an enterprise authority in defining, governing, and advancing McKesson's data architecture strategy. This role establishes the future state vision for enterprise data capabilities and ensures alignment across business, analytics, platform, and solution teams. Operating at the highest level of architectural accountability, this role influences enterprise wide technology direction rather than owning delivery for a single domain or initiative. The architect ensures that data architecture decisions are scalable, compliant, and aligned to long range business and technology strategy. The role acts as a trusted advisor to senior business and technology leaders, leads enterprise architecture governance, and mentors architects across the organization to drive architectural consistency, maturity, and measurable business impact while enabling domain teams to execute within defined enterprise guardrails.

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