Director of Data Management - Big Data Engineering (Remote)

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. 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. 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.

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

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 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

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

12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles. 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

Must have a strong customer and quality focus 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) Degree in Computer Science, Engineering or equivalent.

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. 162,900 - $271,500 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. 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: careers.mckesson.com.

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 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) [email protected] or (Canada) [email protected] us at McKesson!