We are seeking an exceptional Director, Data Platforms & Analytics Technology to join McKesson 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 roadmap Drive innovation in data engineering practices, emerging technologies, and platform capabilities to maintain competitive advantage Establish data engineering standards, best practices, and governance frameworks across the organization Technical Excellence Design, 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 analytics Organizational Leadership Build, mentor, and lead a high-performing team of Data Engineering Directors, and technical specialists Collaborate cross-functionally with Operations, Data Science, Analytics, IT, and Business Intelligence teams to deliver integrated solutions Establish talent development programs, technical career progression paths, and engineering excellence initiatives Foster culture of innovation, continuous learning, and technical excellence within the data engineering organization Operational Excellence Lead delivery of USPD data engineering products development in alignment with USPD DI Operations uptime, optimal performance, and cost efficiency Implement comprehensive monitoring, alerting,



and incident response capabilities for mission-critical data systems Partner with Enterprise Data Platform team to implement automation and AI accelerator initiatives, and Dev

Ops practices to enhance deployment speed and operational reliability Manage technology budgets, vendor relationships, and strategic partnerships to optimize total cost of ownership Leverage 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 distribution Ensure data platform security, compliance, and performance optimization across all environments Minimum 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 workflows Extensive experience with BI development, administration, and enterprise deployment Strong 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 systems Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure Additional Experience Strong technical aptitude and experience with a wide variety of technologies Ability to rapidly learn and if required evaluate a new tool or technology Solid verbal & written communication skills Demonstrated technical leadership experience Be an innovative thinker Must have a strong customer and quality focus Have been successful in working across organizational boundaries, bringing together people with diverse perspectives and experience to find solutions to complex technical issues Proven 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 office 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 Our Base Pay Range for this position $126,900 - $169,200 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 Cover

MyMeds 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: .

📌 Director, Data Platforms & Analytics Technology (Mississauga)
🏢 MCD McKesson Canada Corporation / La Corporation McKesson Canada
📍 Mississauga