Lead Data Architect

McKesson - Columbus, OH

Full-time - Senior

Columbus, OH

5,001-10,000 employees

Merchant Wholesalers, Nondurable Goods

About the position

The Lead Data Architect at McKesson will play a crucial role in the Pharmaceutical Solutions and Services (PSaS) Decision Intelligence (DI) team, focusing on data architecture design for key data product development. This position is pivotal in facilitating data-driven change and creating business value through advanced analytics, ensuring robust and scalable solutions that align with business goals.

Responsibilities

• Design and implement robust, scalable, and integrated data environments across the organization.
• Influence projects to make decisions related to data strategies including data quality, architecture, and management best practices.
• Leverage tools and resources to plan, evaluate, and execute strategic initiatives by mapping relational entities to business requirements.
• Architect complex data systems that support scalable integration and optimal functioning of business-critical applications.
• Manage the creation of data design deliverables including data models, diagrams, flows, and corresponding documentation.
• Drive the adoption of cutting-edge technologies and methodologies in data architecture and engineering.
• Establish and maintain strong collaborative relationships with key stakeholders to ensure data architectures meet business needs.
• Implement data governance practices and standards to ensure data integrity and compliance across all systems.
• Tackle complex data-related problems with strategic solutions that contribute to long-term business success.

Requirements

• Minimum of 10 years of experience in enterprise data architecture, including data requirements collection, analysis, documentation, modeling, design, development, validation, and integration in modern data platforms (e.g., Azure, Databricks, Snowflake).
• A minimum of a Bachelor's degree in Computer Science, Information Technology, or a related field, with a preference for advanced degrees.
• Exceptional ability to lead, mentor, and influence teams and stakeholders.

Nice-to-haves

• Experience with machine learning and artificial intelligence technologies.
• Familiarity with cloud technologies and their application in data architecture.

Benefits

• Health insurance coverage
• 401k retirement savings plan
• Paid holidays
• Flexible scheduling options
• Professional development opportunities