Mc Kesson 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 Mc Kesson 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.Director, Data Platforms & Analytics Technology We are seeking an exceptional Director, Data Platforms & Analytics Technology to join Mc Kesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization and lead the execution of design, development, and optimization of USPD data products. This role involves setting the technical vision, managing high-performing teams, and aligning data strategy with business objectives while managing large-scale data products built on modern data stack. This role involves collaborating with stakeholders to align data capabilities with business objectives and overseeing data governance, security, and best practices. The successful candidate will combine deep technical expertise with proven leadership capabilities to deliver high-impact data solutions that power critical business decisions across our USPD portfolio.Key Accountabilities Strategic Leadership Partner with executives, business leaders, and technology stakeholders to define data architecture vision and roadmapDrive innovation in data engineering practices, emerging technologies, and platform capabilities to maintain competitive advantageEstablish data engineering standards, best practices, and governance frameworks across the organizationDesign, build, and maintain scalable and AI-ready data products leveraging Microsoft Azure ecosystem, ensuring efficient data ingestion, transformation, and storage.Lead advanced implementation of Databricks for large-scale data processing, machine learning workflows, and real-time analyticsBuild, mentor, and lead a high-performing team of Data Engineering Directors, and technical specialistsCollaborate cross-functionally with Operations, Data Science, Analytics, IT, and Business Intelligence teams to deliver integrated solutionsEstablish talent development programs, technical career progression paths,



and engineering excellence initiativesFoster culture of innovation, continuous learning, and technical excellence within the data engineering organizationLead delivery of USPD data engineering products development in alignment with USPD DI Operations uptime, optimal performance, and cost efficiencyImplement comprehensive monitoring, alerting, and incident response capabilities for mission‑critical data systemsPartner with Enterprise Data Platform team to implement automation and AI accelerator initiatives, and Dev Ops practices to enhance deployment speed and operational reliabilityManage technology budgets, vendor relationships, and strategic partnerships to optimize total cost of ownershipLeverage AI in Data Engineering lifecycle, accelerate code generation, and design and implement robust data pipelines (optimize SQL performance, and implement Self-Healing pipeline logic) supporting petabyte-scale data ingestion, transformation, and distributionEnsure data platform security, compliance, and performance optimization across all environmentsMinimum Requirements 12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles.Critical Skills Deep expertise in Microsoft Azure data services ecosystem (Azure Data Factory, Synapse Analytics, Data Lake Storage, Event Hubs, Cosmos DB)Advanced proficiency with Databricks platform and advanced analytics workflowsExtensive experience with BI development, administration, and enterprise deploymentStrong foundation in modern data architectures, scalable Lakehouse using Medallion patterns and Unity Catalog; "RAG-ready" infrastructures and AI-driven data observability to automate quality and drift detection, real-time streaming, and event-driven systemsProficiency in multiple programming languages (Python, Scala, SQL,. NET)



and infrastructureAdditional Experience Strong technical aptitude and experience with a wide variety of technologiesAbility to rapidly learn and if required evaluate a new tool or technologyStrong verbal & written communication skillsDemonstrated technical leadership experienceBe an innovative thinkerMust have a strong customer and quality focusHave been successful in working across organizational boundaries, bringing together people with diverse perspectives and experience to find solutions to complex technical issuesProven experience in architecting AI-First Data Platforms, leveraging Generative AI to automate data curation workflows and implementing RAG-ready architectures that serve both structured BI and unstructured LLM applications.Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)Databricks certifications (Professional Data Engineer, Professional ML Practitioner)Experience in regulated industries (healthcare, financial services, manufacturing)Education Master’s. Degree in Computer Science, Engineering or equivalent.Working Conditions In office requirement, we are Flex and Connect with 2 days a week in officeCompensation We are proud to offer a competitive compensation package at Mc Kesson 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 Mc Kesson'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.Our Base Pay Range for this position $126,900 - $169,200Equal Opportunity Employer Mc Kesson is an Equal Chance Employer. Mc Kesson 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 Mc Kesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Mc Kesson 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.#J-18808-Ljbffr

📌 Director, Data Platforms & Analytics Technology (Mississauga)
🏢 McKesson
📍 Mississauga