Gestionnaire principal(e), IA, Innovation et Opérations / Sr. Manager, AI, Innovation & Operation

McKesson•Montreal, QC

1d•Hybrid

About The Position

McKesson is seeking a Senior Manager, AI, Innovation & Operation to lead a high-impact analytics function focused on enterprise data, machine learning, generative AI, and executive-ready business insights. In this role, you will set analytics strategy, guide managers and teams, and deliver scalable solutions that improve decision-making, operational performance, and business outcomes. This role is ideal for a hands-on data and AI leader with experience across the full machine learning lifecycle, modern cloud data platforms, and responsible AI governance. You will partner with business, technology, and executive stakeholders to shape analytics roadmaps, strengthen data practices, and accelerate adoption of advanced analytics, AI, and automation across the organization.

Requirements

9+ years of experience in analytics, data science, machine learning, AI, business intelligence, or a related field, including people leadership or management experience.
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Analytics, Information Systems, or equivalent experience.
Hands-on experience with modern data and AI stacks, including cloud platforms, data engineering, analytics, and AI/ML tools.
Experience leading teams through the full machine learning lifecycle from use case definition through production deployment and monitoring.
Experience with at least one major enterprise data or AI platform such as Azure AI Foundry, Snowflake, Databricks, Azure ML, or similar technologies.
Demonstrated experience leading complex analytics, AI, data platform, or enterprise reporting initiatives.
Strong communication skills with experience translating technical insights into executive-level recommendations.
Experience establishing or operating data governance, model governance, DevOps, or compliance practices.

Nice To Haves

Experience with generative AI architectures, large language models, retrieval-augmented generation, prompt engineering, or AI solution design.
Experience leading AI/ML programs in regulated, healthcare, supply chain, distribution, or enterprise technology environments.
Familiarity with MLOps, CI/CD, model monitoring, data observability, and production AI operating models.
Experience managing budgets, vendor relationships, technology investments, or analytics platform roadmaps.
Experience building executive dashboards and analytics products using tools such as Power BI, Tableau, or similar platforms.
Ability to influence cross-functional stakeholders and drive adoption of new analytics, AI, and governance practices.
Demonstrated commitment to inclusive leadership, coaching, and talent development.

Responsibilities

Lead development and execution of analytics, AI, and data strategy aligned to enterprise priorities.
Manage analytics leaders and teams delivering forecasting, performance insights, machine learning models, and executive dashboards.
Oversee end-to-end delivery of complex, cross-functional data science, analytics, and AI initiatives.
Drive adoption of modern data and AI platforms, including Azure AI Foundry, Snowflake, Databricks, and related cloud technologies.
Guide teams through the full ML lifecycle, including exploration, feature engineering, model development, deployment, monitoring, and improvement.
Establish governance practices for data quality, model risk, responsible AI, regulatory compliance, DevOps, and operational controls.
Partner with business and technology leaders to prioritize investments, optimize tools, and mature analytics capabilities.
Build an inclusive, high-performing team culture through coaching, talent development, collaboration, and change leadership.