Lead Data Architect (Healthcare)
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.
About the role
MomentimRx is advancing a modern healthcare data platform and digital products to accelerate innovation and improve patient health outcomes. The Lead Data Architect will lead the design and execution of enterprise-scale, secure, and scalable data solutions, shaping the next-generation healthcare data capabilities at McKesson. This role partners with business and technology leaders to define architectural strategy, drive interoperability, and enable AI/ML and analytics-ready environments.
Responsibilities
- Define technical strategy, architecture standards, and long-term roadmap; lead design and planning for new platforms, products, and services; establish enterprise-wide best practices and reusable patterns.
- Oversee architectural execution of enterprise-scale data solutions.
- Evaluate emerging technologies and recommend innovative, business-aligned solutions; mentor teams on modern architecture and cloud-native practices.
- Provide technical governance through architecture review boards and standards enforcement.
- Ensure compliance with healthcare regulations and enterprise security standards; embed data security, privacy, and regulatory compliance in all data architecture designs.
- Partner closely with Compliance, Privacy, and Enterprise Governance teams to define and execute a holistic data strategy aligned with regulatory requirements and enterprise risk posture.
- Work in close collaboration with Data Governance organizations to operationalize metadata management and lineage by integrating enterprise data assets with governance platforms such as Alation. Ensure consistent capture, enrichment, and stewardship of metadata across data platforms to support discoverability, lineage, data quality, and auditability.
- Develop and maintain comprehensive documentation of data architecture, data dictionaries, and data flow diagrams; ensure consistency, traceability, and quality across platforms.
Requirements
- Degree or equivalent and typically requires 10+ years of relevant experience. Fewer years required if has relevant Master’s or Doctorate qualifications.
Skills
- Cloud & Data Platforms: Expertise in Azure, Databricks, multi-cloud architectures, data lakes/lakehouses, real-time streaming, Unity Catalog, and modern data governance frameworks.
- Data Architecture & Engineering:
- Strong proficiency in data modeling techniques (conceptual, logical, physical) and experience with data modeling tools.
- Advanced data modeling, normalization, ETL/ELT pipeline design, and batch/streaming architectures.
- Experience with relational databases (SQL Server, Oracle, PostgreSQL) and NoSQL databases (MongoDB, Cassandra, DynamoDB).
- Familiarity with data governance frameworks, data quality management, and master data management (MDM) principles.
- Integration of external data sources, SFTP-based ETL, and real-time pipelines.
- Experience integrating metadata and lineage into enterprise data governance platforms (e.g., Alation) to enable discoverability, auditability, and data quality across the organization.
- Interoperability & Standards: SOA modernization, service-based architectures, OAuth2/OIDC/SMART/RBAC/ABAC; deep understanding of healthcare data standards (HL7, FHIR, ICD-10) and HIPAA compliance.
- AI & Analytics Enablement: Architecting ML/AI-ready environments and real-time analytics platforms.
- DevOps & Platform Enablement: CI/CD pipelines, automated deployment, GitHub version control.
- Healthcare Domain Expertise: EMR systems, claims processing, MDM, and IQVIA or similar healthcare datasets.
- Non-Technical Competencies:
- Ability to align diverse stakeholders around a clear and compelling technical vision.
- Strong analytical skills to solve complex, cross-functional enterprise challenges.
- Proven ability to balance business priorities, technical constraints, and risk management.
- Excellent communicator capable of influencing audiences from engineers to senior executives.
- Experience participating in and leading architecture review boards and defining reusable enterprise patterns.
- Strategic mindset with the ability to guide long-term platform and capability evolution.
- Demonstrates collaboration, accountability, and a team-first mindset.
- Deep understanding of the healthcare industry, enterprise risk management, and regulatory considerations.
- Proven ability to partner cross-functionally with Compliance, Privacy, and Governance stakeholders to drive enterprise data strategy and embed policy-driven governance controls into architecture designs.
- Startup experience (2+ years) strongly preferred.
Schedule
This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities.
Pay
Our Base Pay Range for this position is $147,800 - $246,400. 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.
Benefits
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. For more information regarding benefits at McKesson, please click here.
Applicants must be currently authorized to work in the United States on a full-time basis without the need for employer support or sponsorship now or in the future.