Success Profile
What makes a successful Senior / Lead Data Architect? Here are the top traits.
- Conceptual
- Proactive
- Problem-Solver
- Strategic
- Technologically Savvy
- Visual Thinker
Culture
Accomplish
Make a meaningful impact by using your problem-solving skills to push the boundaries of innovation in healthcare, while maintaining a healthy work-life balance.
Innovate
Foster a digital mindset to drive IT transformation across McKesson through our evolving data and technology tools.
Grow
Join a supportive environment where you can advance your career and develop both personally and professionally.
Benefits
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Coverage you can rely on
- Medical, Dental, and Vision
- Health Spending Accounts
- Flexible Spending Accounts
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Benefits that go beyond your base pay
- 401(k) (U.S.)
- Pension (Canada)
- Employee Stock Purchase Plan
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Support for total well-being
- Mental Health Programs
- Flexible Schedules
- Paid Time Off
- Wellness Program
- Education Reimbursement
- Volunteer Opportunities
- Flexible Work Environment
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A global leader of inclusion
McKesson’s commitment to diversity and inclusion starts at the top. We have also been named a Best Employer for Diversity by Forbes.
Responsibility
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.
Job title: Senior / Lead Data Architect
Current Need:
Our Decision Intelligence (DI) team is looking for a Senior / Lead Data Architect to support key data initiatives. DI team focuses on facilitating data driven change and creating business value through data and advanced analytics. Define enterprise-wide data and semantic architecture to support AI-driven insights and automation. Able to lead Design of AI ready “Intelligent Data Platform” ensuring consistent, governed, interoperable data across McKesson's platforms and BU segments.
Keys Roles & Responsibilities:
Data Architecture Leadership:
Architect canonical data domains across customer, product, pricing, supply chain, contracts, and financial performance.
Design semantic layers, business ontology, subject-area models, and metrics definitions for AI agents.
Define principles for data interoperability, lineage, access control, multi-cloud integration.
Align data platform architecture with the USPD AI Roadmap.
Establish patterns for RAG, vector search, metadata-driven decisions, and multi-modal ingestion.
Provide Data & AI Architectural oversight for ongoing products like Finance, Pricing and Supply Chain Data Products, FIA, ContractIQ, and Specialty Leakage Agents.
Design and implement robust, scalable, and integrated data environment across the organization
Influence projects to make decisions related to data strategies including data quality, data architecture and data management best practices
Leverage tools and resources to plan, evaluate and execute strategic initiatives by mapping relational entities to use cases or business requirements and assisting in the development of data products
Advanced Data System Design:
Architect complex data systems that support scalable integration and optimal functioning of business-critical applications. Employ sophisticated design principles and tools to model data flows and structures that enhance data accessibility and utility
Manage creation of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentation
Minimum Requirements:
Typically requires 7+ years' experience in data engineering and architeture
Master's or Bachelor’s degree in Computer Science, Engineering, or a related field
Critical Skills Required:
Proven Expertise: Minimum of 7+years of experience in enterprise data architecture, including data requirements collection, data architecture analysis, Enterprise data modeling, semantic layers, large-scale integration; Databricks, Snowflake, MDM, SAP, Salesforce/Conga; ability to simplify complex domains into intuitive patterns.
Leadership Skills:Delivery Ownership & able to guide engineering teams for successful execution and Change Champion.
Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-term objectives.
Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges.
Physical Requirements: General Office Demands
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. 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 click here.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
Join us at McKesson!
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