Director, Data Platforms & AI Analytics

McKesson’s Corporate; Mississauga; On-site; CAD 181,000 - 241,000; Full time

Benefits offered by this job

In-office 2 days/week

Job summary

McKesson is seeking a Director of Data Platforms & Analytics Technology to lead design, development, and optimization of data products for USPD Decision Intelligence. The role defines technical vision, guides a high-performing team, and aligns data strategy with business goals while ensuring governance and security.

The successful candidate will drive scalable AI-ready data products on Azure, mentor engineers, and collaborate with operations, analytics, and IT to deliver impactful solutions

Qualifications

• 12+ years of professional IT experience with 4+ years in leadership, planning and communication.
• Deep expertise in Microsoft Azure data services ecosystem and Databricks platforms.
• Strong BI development, administration, and enterprise deployment experience.
• Experience architecting AI-first data platforms and governing data securely in regulated environments.
• Azure Certifications (Data Engineer Associate, Solutions Architect Expert) and Databricks certifications preferred.

Responsibilities

• Define data architecture vision and roadmap with executives and stakeholders.
• Drive innovation in data engineering, platform capabilities, and governance.
• Design, build, and maintain scalable AI-ready data products on Azure.
• Lead Databricks-based data processing, ML workflows, and real-time analytics.
• Mentor and lead a high-performing data engineering team.
• Ensure data governance, security, and compliance across environments.

Education

Master’s degree in Computer Science, Engineering or equivalent

Job description

McKesson is seeking a Director of Data Platforms & Analytics Technology to lead design, development, and optimization of data products for USPD Decision Intelligence. The role defines technical vision, guides a high-performing team, and aligns data strategy with business goals while ensuring governance and security.

The successful candidate will drive scalable AI-ready data products on Azure, mentor engineers, and collaborate with operations, analytics, and IT to deliver impactful solutions