About The Company

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.

About The Role

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization. This leadership role is pivotal in driving the design, development, and optimization of USPD data products. The successful candidate will be responsible for setting the technical vision, managing high-performing teams, and aligning data strategies with overarching business objectives. You will oversee large-scale data products built on modern data stacks, ensuring they meet performance, security, and compliance standards. Collaboration with stakeholders across various functions is essential to ensure data capabilities support critical business decisions and innovation initiatives. This role requires a blend of technical expertise, strategic thinking, and leadership skills to deliver impactful data solutions that empower McKesson’s USPD portfolio.

Qualifications

Candidates should possess a minimum of 12 years of professional experience in related IT fields, with at least 4 years in leadership, planning, and communication roles. A master’s degree in Computer Science, Engineering, or an equivalent field is required. Certifications such as Azure Data Engineer Associate, Azure Solutions Architect Expert, and Databricks certifications are highly preferred. Proven experience in architecting AI-First Data Platforms, leveraging Generative AI, and implementing RAG-ready architectures is essential. Candidates must demonstrate deep expertise in Microsoft Azure data services, Databricks platform, and modern data architectures. Strong programming skills in Python, Scala, SQL, and .NET, along with experience in regulated industries such as healthcare, financial services, or manufacturing, will be advantageous. Excellent communication, leadership, and innovative problem-solving skills are critical for success in this role.

Responsibilities

Partner with executives, business leaders, and technology stakeholders to define and execute the data architecture vision and strategic roadmap. Drive innovation by adopting emerging technologies, enhancing data engineering practices, and maintaining a competitive edge. Establish and enforce data engineering standards, best practices, and governance frameworks across the organization. Design, build, and maintain scalable, AI-ready data products utilizing Microsoft Azure ecosystem, ensuring efficient data ingestion, transformation, and storage. Lead advanced implementations on 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. Develop talent through technical career pathways, training programs, and engineering excellence initiatives. Foster a culture of innovation, continuous learning, and technical excellence within the data engineering organization. Oversee the delivery of data engineering products, ensuring operational uptime, performance, and cost efficiency. Implement monitoring, alerting, and incident response protocols for mission-critical data systems. Partner with the Enterprise Data Platform team to implement automation, AI accelerators, and DevOps practices to streamline deployment and enhance reliability. Manage budgets, vendor relationships, and strategic partnerships to optimize total cost of ownership. Leverage AI technologies to automate data curation workflows, optimize data pipelines, and support petabyte-scale data operations. Ensure data platform security, compliance, and performance across all environments, adhering to industry standards and regulations.

Benefits

McKesson offers a comprehensive and competitive total rewards package designed to support your professional growth and personal well-being. Our benefits include health insurance, retirement plans, paid time off, and wellness programs. We also provide opportunities for continuous learning and development, including certifications, training programs, and leadership initiatives. Our commitment to diversity and inclusion ensures a supportive environment where all employees can thrive. Additional perks may include flexible work arrangements, employee assistance programs, and recognition awards. Details of the specific benefits package will be discussed during the hiring process, aligned with your role and location.

Equal Opportunity

McKesson is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive environment where all employees and applicants are treated with respect and fairness. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We encourage individuals from all backgrounds to apply and thrive within our organization. If you require a reasonable accommodation during the application process, please contact us via the designated channels. For more information on our equal employment policies, please visit our website.