Gestionnaire principal, Ingnierie du Data Hub et des Produits de Donnes /Senior Manager, Data Hub Engineering & Data Products

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.

Rsum du poste (objectif du poste) :

McKesson Canada est la recherche d?un gestionnaire d?exprience , Ingnierie du Data Hub et produits de donnes, pour diriger l?volution de notre service Data Hub d?entreprise. Cette personne sera responsable de btir et de faire voluer des capacits modernes en ingnierie des donnes, de permettre la livraison de produits de donnes fiables, de faire progresser les pratiques d?ingnierie appuyes par l?IA et de favoriser l?excellence oprationnelle tout au long du cycle de vie des donnes.

Ce rle se situe l?intersection de l?ingnierie des donnes, de l?approche produit, de la livraison Agile, de la gouvernance, du DataOps et de l?innovation. La personne retenue dirigera une quipe multidisciplinaire responsable de livrer des produits de donnes fiables, volutifs, scuriss et rutilisables qui soutiennent les capacits d?affaires des domaines Commercial, Sant spcialise, Chane d?approvisionnement, Entreprise et Numrique.

Contrairement un rle traditionnel de leadership en ingnierie des donnes, ce poste est responsable non seulement de la livraison technique, mais aussi de la prise en charge du service, de l?volution de la plateforme, de la modernisation des pratiques d?ingnierie et de l?adoption de capacits de livraison propulses par l?IA, conformment la feuille de route du Data Hub.

Principales responsabilits :

Diriger et dvelopper des quipes hautement performantes

• Diriger, encadrer et inspirer une quipe d?ingnieurs de donnes et de spcialistes techniques.
• tablir une culture d?appropriation, de responsabilisation, d?inclusion, d?innovation et d?amlioration continue.
• S?assurer que les capacits techniques et de leadership sont alignes sur les besoins futurs du Data Hub.
• Soutenir la planification de la main-d??uvre, le recrutement, le dveloppement des talents, la planification de la relve et la gestion de la performance.
• Favoriser une mentalit axe sur les produits de donnes, centre sur les rsultats clients et la valeur d?affaires.
• Mettre en place des pratiques d?excellence oprationnelle.

Livrer des produits de donnes d?entreprise

• Assurer la conception, la mise en ?uvre, le dploiement et le soutien de solutions de donnes l?chelle de l?entreprise.
• Piloter la livraison de capacits volutives d?ingestion, de transformation, de qualit, de smantique et de consommation des donnes.
• Faire respecter les normes d?ingnierie, les modles rutilisables, les balises d?architecture et les meilleures pratiques de dveloppement.
• Collaborer troitement avec les parties prenantes des secteurs d?affaires et de la technologie.
• Stimuler l?innovation en adoptant les technologies mergentes, en optimisant les flux de travail d?ingnierie et en amliorant les capacits techniques des quipes.
• Piloter la surveillance, l?observabilit, la gestion des incidents, l?analyse des causes fondamentales et l?amlioration continue des services.
• Offrir un leadership d?expertise sur les enjeux critiques, en guidant le dpannage, l?analyse des causes fondamentales et les plans de remdiation long terme.

Favoriser l?excellence de la livraison Agile

• Faire progresser le parcours de transformation Agile du Data Hub.
• Amliorer la sant du carnet de travail, la priorisation, la discipline des sprints, la qualit des estimations et la prvisibilit de la livraison.
• Mettre en place des indicateurs mesurables d?ingnierie et de flux.
• Optimiser en continu la productivit des quipes, le dbit de livraison et la ralisation de la valeur.
• Amliorer la visibilit, la gouvernance, la priorisation et la gestion de la capacit.

Amliorer la fiabilit et les oprations du service

• S?assurer que les solutions du Data Hub rpondent aux exigences de fiabilit, de performance, de conformit et de maintenabilit.
• Piloter la surveillance, l?observabilit, la gestion des incidents, l?analyse des causes fondamentales et l?amlioration continue des services.

Qualifications minimales requises (connaissances, comptences et aptitudes) :

• Connaissance approfondie de l?intgration des donnes, des lacs de donnes, des entrepts de donnes, de la modlisation des donnes et de la livraison de produits de donnes.
• Solide connaissance du CI/CD, du DevOps, de l?automatisation de l?ingnierie et des mthodologies de livraison Agile.
• Connaissance de l?ingnierie assiste par l?IA, de l?automatisation de la livraison logicielle et des technologies mergentes en IA.
• Exprience dans la mise en ?uvre de contrles de qualit des donnes, de tests automatiss, de pratiques de surveillance et d?observabilit.
• Comprhension des concepts de gestion des mtadonnes, de traabilit, de gouvernance, de catalogage et de proprit des donnes.
• Excellentes comptences en communication, en gestion des parties prenantes, en rsolution de problmes, en planification et en organisation.
• Capacit diriger en contexte de changement et influencer les quipes techniques et les quipes d?affaires.

Exprience d?affaires :

• Au moins 7 annes d?exprience progressive en ingnierie des donnes, en gestion des donnes, en plateformes de donnes ou dans des disciplines connexes.
• Au moins 3 annes d?exprience en gestion de personnel et en direction d?quipes techniques.
• Exprience dans la livraison de solutions de donnes l?chelle de l?entreprise, dans un environnement d?affaires complexe.
• Exprience dans la gestion d?initiatives interfonctionnelles impliquant l?ingnierie, l?architecture, les produits, la qualit, les oprations et les parties prenantes d?affaires.
• Exprience dans le soutien de services oprationnels avec une responsabilit quant la fiabilit, la qualit, la maintenabilit et l?amlioration continue.
• Exprience dans la direction d?quipes de livraison Agile et dans l?amlioration de la maturit et de la prvisibilit de la livraison.
• Exprience dans l?utilisation de technologies propulses par l?IA pour amliorer la productivit de l?ingnierie, la qualit et l?efficacit oprationnelle.

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Senior Manager, Data Hub Engineering & Data Products

Position Summary:

McKesson Canada is seeking a Senior Manager, Data Hub Engineering & Data Products to lead the evolution of our Enterprise Data Hub service. This individual will be responsible for building and scaling modern data engineering capabilities, enabling the delivery of trusted data products, advancing AI-enabled engineering practices, and driving operational excellence across the data lifecycle.

This role sits at the intersection of data engineering, product thinking, Agile delivery, governance, DataOps, and innovation. The successful candidate will lead a multidisciplinary team responsible for delivering trusted, scalable, secure, and reusable data products that support business capabilities across Commercial, Specialty Health, Supply Chain, Enterprise, and Digital domains.

Unlike a traditional data engineering leadership role, this position is accountable not only for technical delivery, but also for service ownership, platform evolution, engineering modernization, and adoption of AI-powered delivery capabilities aligned to the Data Hub roadmap.

Key Responsibilities:

Lead and Develop High-Performing Teams

• Lead, coach, and inspire a team of data engineers and technical specialists.
  Foster a culture of ownership, accountability, inclusiveness, innovation, and continuous improvement.
• Ensure technical and leadership capabilities are aligned with the future needs of the Data Hub.
• Support workforce planning, recruiting, talent development, succession planning, and performance management.
• Promote a data product mindset focused on customer outcomes and business value.
  Establish and drive operational excellence practices.

Deliver Enterprise Data Products

• Ensure the design, implementation, deployment, and support of enterprise-scale data solutions.
• Drive the delivery of scalable data ingestion, transformation, quality, semantic, and consumption capabilities.
• Enforce engineering standards, reusable patterns, architecture guardrails, and development best practices.
• Collaborate closely with business and technology stakeholders.
  Drive innovation through adoption of emerging technologies, optimization of engineering workflows, and enhancement of team technical capabilities.
• Lead monitoring, observability, incident management, root cause analysis, and continuous service improvement.
• Provide subject matter leadership on critical issues, guiding troubleshooting, root cause analysis, and long-term remediation plans.

Drive Agile Delivery Excellence

• Advance the Data Hub Agile transformation journey.
• Improve backlog health, prioritization, sprint discipline, estimation quality, and delivery predictability.
• Establish measurable engineering and flow metrics.
• Continuously optimize team productivity, delivery throughput, and value realization.
• Improve visibility, governance, prioritization, and capacity management.

Improve Service Reliability and Operations

• Ensure Data Hub solutions meet reliability, performance, compliance, and maintainability requirements.
• Lead monitoring, observability, incident management, root cause analysis, and continuous service improvement.

Minimum Qualifications (Knowledge, Skills, and Abilities):

• Deep knowledge of data integration, data lakes, data warehouses, data modeling, and data product delivery.
• Strong knowledge of CI/CD, DevOps, engineering automation, and Agile delivery methodologies.
• Knowledge of AI-assisted engineering, software delivery automation, and emerging AI technologies.
• Experience implementing data quality controls, automated testing, monitoring, and observability practices.
• Understanding of metadata management, lineage, governance, data cataloging, and data ownership concepts.
• Excellent communication, stakeholder management, problem-solving, planning, and organizational skills.
• Ability to lead through change and influence both technical and business teams.

Business Experience:

• At least 7 years of progressive experience in data engineering, data management, data platforms, or related disciplines.
• At least 3 years of people management and technical team leadership experience.
• Experience delivering enterprise-scale data solutions within complex business environments.
• Experience leading cross-functional initiatives involving engineering, architecture, products, quality, operations, and business stakeholders.
• Experience supporting operational services with accountability for reliability, quality, maintainability, and continuous improvement.
• Experience leading Agile delivery teams and improving delivery maturity and predictability.
• Experience using AI-powered technologies to enhance engineering productivity, quality, and operational efficiency.

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. The pay range shown below is aligned with McKesson\'s pay philosophy, and pay will always be compliant with any applicable regulations. 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

Notre chelle salariale de base pour ce poste

Our Base Pay Range for this position

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