McKesson, l?une des 10 premires entreprises du classement Fortune Global 500, touche pratiquement tous les aspects des soins de sant et s?emploie faire une relle diffrence. Nous sommes reconnus pour notre capacit offrir un savoir, des produits et des services qui rendent les soins de qualit plus accessibles et plus abordables. Chez nous, la sant, le bonheur et le bien-tre de nos gens et des personnes que nous desservons sont prioritaires?et nous tiennent c?ur.
Ce que tu fais chez McKesson a de l?importance. Nous favorisons une culture o tu peux t?panouir et avoir un impact, et o tu es encourag proposer de nouvelles ides. Ensemble, nous faonnons l?avenir de la sant pour nos patients, nos communauts et nos quipes. Si tu souhaites ds aujourd?hui contribuer la sant de demain, nous aimerions avoir de tes nouvelles.
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. If you want to be part of tomorrow?s health today, we want to hear from you.
ENGLISH DESCRIPTION FOLLOWS
propos du poste
McKesson est la recherche d?un(e)Gestionnaire principal(e), IA, Innovation et Oprations pour diriger une fonction analytique fort impact axe sur les donnes d?entreprise, l?apprentissage automatique, l?IA gnrative et les analyses stratgiques destines aux dirigeants. Dans ce rle, vous dfinirez la stratgie analytique, dirigerez des gestionnaires et des quipes, et mettrez en ?uvre des solutions volutives qui amliorent la prise de dcision, la performance oprationnelle et les rsultats d?affaires.
Ce poste convient parfaitement un(e) leader pratique en donnes et en intelligence artificielle possdant une exprience couvrant l?ensemble du cycle de vie de l?apprentissage automatique, les plateformes modernes de donnes infonuagiques et la gouvernance responsable de l?IA. Vous travaillerez en partenariat avec les quipes d?affaires, de technologie et les dirigeants afin d?orienter les feuilles de route analytiques, de renforcer les pratiques de gestion des donnes et d?acclrer l?adoption de l?analytique avance, de l?IA et de l?automatisation au sein de l?organisation.
Ce que vous ferez
- Diriger l?laboration et l?excution de la stratgie en analytique, intelligence artificielle et donnes, aligne sur les priorits de l?entreprise.
- Grer des leaders et des quipes en analytique responsables de la prvision, des analyses de performance, des modles d?apprentissage automatique et des tableaux de bord destins aux dirigeants.
- Superviser la livraison de bout en bout d?initiatives complexes et multidisciplinaires en science des donnes, analytique et intelligence artificielle.
- Favoriser l?adoption de plateformes modernes de donnes et d?IA, notamment Azure AI Foundry, Snowflake, Databricks et d?autres technologies infonuagiques connexes.
- Accompagner les quipes tout au long du cycle de vie des modles d?apprentissage automatique, incluant l?exploration des donnes, l?ingnierie des caractristiques, le dveloppement, le dploiement, la surveillance et l?amlioration des modles.
- Mettre en place des pratiques de gouvernance lies la qualit des donnes, la gestion des risques des modles, l?IA responsable, la conformit rglementaire, au DevOps et aux contrles oprationnels.
- Collaborer avec les leaders d?affaires et technologiques afin de prioriser les investissements, optimiser les outils et faire voluer les capacits analytiques.
- Dvelopper une culture inclusive et performante grce au coaching, au dveloppement des talents, la collaboration et la gestion du changement.
Exigences de base
- Plus de 9 annes d?exprience en analytique, science des donnes, apprentissage automatique, intelligence artificielle, intelligence d?affaires ou dans un domaine connexe, incluant de l?exprience en gestion ou en leadership d?quipes.
- Baccalaurat en informatique, science des donnes, gnie, statistique, analytique, systmes d?information ou exprience quivalente.
- Exprience pratique avec des cosystmes modernes de donnes et d?IA, incluant les plateformes infonuagiques, l?ingnierie des donnes, les solutions analytiques et les outils d?IA/AA.
- Exprience dans la gestion d?quipes couvrant l?ensemble du cycle de vie de l?apprentissage automatique, de la dfinition des cas d?utilisation jusqu?au dploiement et la surveillance en production.
- Exprience avec au moins une plateforme majeure de donnes ou d?intelligence artificielle d?entreprise, telle qu?Azure AI Foundry, Snowflake, Databricks, Azure Machine Learning ou des technologies similaires.
- Exprience dmontre dans la direction d?initiatives complexes en analytique, intelligence artificielle, plateformes de donnes ou production de rapports l?chelle de l?entreprise.
- Excellentes comptences en communication et capacit transformer des concepts techniques en recommandations stratgiques destines la haute direction.
- Exprience dans la mise en place ou l?exploitation de pratiques de gouvernance des donnes, de gouvernance des modles, de DevOps ou de conformit.
Comptences et exprience souhaites
- Exprience avec les architectures d?IA gnrative, les grands modles de langage (LLM), la gnration augmente par rcupration (RAG), l?ingnierie des requtes ( prompt engineering ) ou la conception de solutions d?IA.
- Exprience dans la direction de programmes d?IA et d?apprentissage automatique dans des environnements rglements, du secteur de la sant, de la chane d?approvisionnement, de la distribution ou des technologies d?entreprise.
- Connaissance des pratiques MLOps, CI/CD, surveillance des modles, observabilit des donnes et modles oprationnels d?IA en production.
- Exprience dans la gestion de budgets, des relations avec les fournisseurs, des investissements technologiques ou des feuilles de route de plateformes analytiques.
- Exprience dans la cration de tableaux de bord excutifs et de produits analytiques l?aide d?outils tels que Power BI, Tableau ou des plateformes similaires.
- Capacit d?influencer des parties prenantes multidisciplinaires et de favoriser l?adoption de nouvelles pratiques en analytique, intelligence artificielle et gouvernance.
- Engagement dmontr envers le leadership inclusif, le coaching et le dveloppement des talents.
Dplacements / Environnement de travail / Exigences physiques
- Le modle de travail peut tre distance, hybride ou en prsentiel, selon les besoins de l?entreprise et de l?quipe.
- Des dplacements occasionnels peuvent tre requis pour participer des rencontres d?quipe, avec les parties prenantes ou lies aux activits de l?entreprise.
- Le rle exige une utilisation rgulire d?un ordinateur et d?outils de collaboration pendant de longues priodes.
Le.la titulaire de ce poste aura soutenir de faon quotidienne des clients internes et/ou externes l?extrieur du Qubec et/ou aux tats-Unis. Par consquent, ce poste requiert une matrise de l?anglais l?crit et l?oral. Veuillez noter que le nombre de postes dont les tches requirent une connaissance de la langue anglaise a t restreint dans la mesure du possible.
Work Arrangement: This is a hybrid position requiring candidates to work on-site at least 2 days per week at our office in Mississauga.
About the Role
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.
What You?ll Do
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.
Basic 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.
Preferred Skills/Experience
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.
Travel / Work Environment / Physical Requirements
Work model may be remote, hybrid, or office-based depending on business and team needs.
Occasional travel may be required for team, stakeholder, or business meetings.
Role requires regular use of a computer and collaboration tools for extended periods
The incumbent of this position will provide daily support to internal and/or external clients outside Quebec and/or in the United States. Therefore, he/she must be proficient in spoken and written English. Please note that the number of positions requiring English language skills has been limited where possible.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. 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. For more information regarding benefits at McKesson, please
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson?s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: .
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson?s full Equal Employment Opportunity policies, visit our page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.
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