Director Data Engineering

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 tomorrows health today we want to hear from you.

We are seeking an exceptional Director of Data Engineering 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 DevOps 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 ) 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

• Strong 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

• Masters. Degree in Computer Science Engineering or equivalent.

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 McKessons 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 pleaseclick here.

Our Base Pay Range for this position

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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 McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity 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.

Join us at McKesson!