Director of Data Architecture

McKesson - Columbus, OH

Full-time - Senior

Columbus, OH

5,001-10,000 employees

Merchant Wholesalers, Nondurable Goods

About the position

The Director of Data Architecture at McKesson is a pivotal leadership role within the Pharmaceutical Solutions and Services (PSaS) Decision Intelligence (DI) team. This position is responsible for developing and executing the data architecture strategy to support strategic data initiatives, facilitating data-driven change, and creating business value through advanced analytics. The role requires a profound expertise in data architecture to analyze, design, and implement complex systems that ensure robust and scalable solutions aligned with business goals.

Responsibilities

• Spearhead the strategic development and continuous refinement of data architecture frameworks.
• Lead the design and implementation efforts to ensure robust, scalable, and integrated data environments across the organization.
• Leverage tools and resources to plan, evaluate, and execute strategic initiatives by mapping relational entities to use cases or business requirements.
• Assist in the development of data products.
• 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 the creation of data design deliverables including data models, data diagrams, data flows, and corresponding data dictionary documentation.
• Drive the adoption of cutting-edge technologies and methodologies in data architecture and engineering.
• Develop innovative solutions that leverage machine learning, artificial intelligence, and cloud technologies to transform data handling and analytics.
• Build and mentor a team of data architects and engineers, providing expert guidance and fostering a culture of technical excellence and innovation.
• Establish and maintain strong collaborative relationships with key internal and external stakeholders.
• Translate stakeholder requirements into actionable technical strategies and solutions.
• Define and implement data governance practices and standards to ensure data integrity and compliance across all data systems and platforms.
• Lead the evaluation and selection of data management technologies to support data security, quality, and efficiency.
• Tackle complex data-related problems with strategic solutions that contribute to long-term business success.
• Provide thought leadership in developing strategies that leverage data assets to drive business innovation and competitive advantage.

Requirements

• 12+ years of experience in data architecture.
• Proven expertise in designing data models and data products.
• Strong technical leadership background.
• Experience in architecting complex data systems.
• Knowledge of machine learning, artificial intelligence, and cloud technologies.

Nice-to-haves

• Experience with data governance practices and standards.
• Familiarity with advanced analytics and business intelligence tools.
• Ability to mentor and develop talent within a technical team.

Benefits

• Health insurance coverage.
• 401k retirement savings plan.
• Paid holidays and vacation time.
• Professional development opportunities.