Director of Software 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.

This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/workfromhome model. If located in DFW area the selected candidate may be expected to work onsite at our Las Colinas office a minimum of two (2) days per week with the remaining days worked remotely. Specific inoffice days may be designated according to team needs and business priorities.

About the Role:

The Director Software Engineering provides strategic technical and people leadership for Ontadas engineering organization. This leader owns the vision and execution for scalable healthcare data platforms pipelines data products analytics and integrations that power value-based care programs and actionable clinical and business insights. The role requires deep expertise in modern data engineering including cloud data platforms batch and streaming architectures data quality governance interoperability and secure handling of healthcare data. Experience leading enterprise web and SaaS application engineeringincluding microservices APIs distributed systems and cloud-native deliveryis also required but serves as a secondary capability that enables end-to-end VBC solutions. The Director partners with Product Analytics Data Science Clinical Informatics Architecture Security and Operations to translate VBC strategy into reliable trusted and measurable technology outcomes.

What Youll Do:

• Data Engineering & Platform Leadership: Define and lead the technical vision for Ontadas VBC data ecosystem including cloud data platforms lakehouse and warehouse architectures batch and streaming pipelines shared data services and governed data products.
• VBC Strategy & Execution: Build and deliver multi-release roadmaps that support value-based care workflows quality measurement performance reporting risk and population insights and partner data exchange. Align investments to product priorities customer outcomes regulatory needs and measurable business value.
• Team Leadership: Lead managers architects data engineers analytics engineers and software engineers within the organization. Set clear accountability strengthen technical leadership and build a high-performance culture grounded in engineering discipline collaboration and continuous improvement.
• Data Quality & Operational Excellence: Establish standards for data contracts lineage observability reconciliation testing metadata incident management and service-level objectives. Drive root-cause analysis and durable fixes that improve the accuracy timeliness reliability security and auditability of data.
• Architecture & Innovation: Provide hands-on oversight of data architecture and critical design decisions. Advance modern patterns using Databricks Spark Python SQL Delta Lake orchestration event streaming cloud services AI/ML and automation where they create clear value.
• Healthcare Data Products & Integration: Deliver reusable trusted data products and integrations across clinical claims quality financial and operational domains. Support healthcare interoperability and partner exchange using appropriate standards APIs and event-driven patterns.
• Application Engineering Oversight: Ensure the VBC data platform integrates effectively with enterprise web and SaaS applications. Guide teams on microservices REST APIs distributed systems cloud-native engineering CI/CD security scalability and production reliability.
• Stakeholder & Partner Collaboration: Work closely with Product Clinical Informatics Analytics Data Science Architecture QA Security SRE/Operations customers and external partners to define outcomes resolve priorities and communicate VBC technology strategy delivery status risks and decisions.
• Talent Development: Attract develop and retain top engineering and data talent. Provide coaching and growth opportunities for software engineers data engineers architects and emerging leaders while building a strong leadership pipeline. Instill a passion for technology innovation data excellence and customer focus throughout the organization.
• Governance & Compliance: Ensure all development and data management activities adhere to healthcare industry regulations privacy and security standards data governance policies and McKessons internal quality frameworks. Implement robust governance around architecture standards data stewardship release management and risk controls to maintain compliance and reliability.

Basic Requirements:

• Degree or equivalent experience. Typically requires 12 years of professional experience and 4 years of management experience.
• 12 years of technology experience with substantial depth in data engineering data platforms analytics engineering or related disciplines including 4 years in technical leadership roles overseeing multiple teams or managers.

• Data Engineering Expertise: Deep experience designing and operating enterprise-scale cloud data platforms lakehouse and warehouse solutions batch and streaming pipelines data models reusable data products and secure data-sharing capabilities. Strong knowledge of Databricks Apache Spark Python SQL Delta Lake orchestration event streaming metadata lineage observability and data quality controls.

• VBC & Healthcare Data Expertise: Experience delivering data capabilities for value-based care population health quality measures clinical analytics claims payer-provider exchange or adjacent healthcare domains. Working knowledge of HIPAA PHI protection data governance and healthcare interoperability standards is strongly preferred.

• Application Engineering Foundation: Proven experience with enterprise web or SaaS platforms microservices architecture APIs distributed systems cloud-native design containerization automated testing and CI/CD. This experience is required to lead integrated VBC solutions but is secondary to the roles data engineering depth.

• Leadership & Communication: Demonstrated ability to lead and scale engineering and data teams manage managers and drive an inclusive high-performance culture. Excellent communication and stakeholder management skills with experience presenting technology and data strategies to executive leadership and business stakeholders.

• Problem Solving: Strategic and analytical mindset with a passion for innovation. Able to guide teams in solving complex technical and data challenges troubleshooting production issues and making data-informed decisions that balance short-term needs with long-term platform health.

• Domain Knowledge: Familiarity with enterprise security compliance interoperability data privacy standards and healthcare data ecosystems. Healthcare technology experience or knowledge of regulated industries is highly valued with an understanding of HIPAA PHI interoperability standards and healthcare analytics as a plus.

Preferred Skills/Experience:

• Advanced Credentials: Masters degree in a relevant technical field (e.g. M.S. in Computer Science Software Engineering Data Science Information Systems or MBA with technical focus).

• Healthcare & Enterprise Experience: Prior leadership of data engineering teams in healthcare technology value-based care clinical analytics payer-provider solutions or another regulated environment is strongly preferred. Experience modernizing legacy data estates adopting cloud lakehouse platforms and integrating data platforms with enterprise SaaS applications is a plus.

Additional Skills:

• Financial acumen and project portfolio management experience including budgeting and ROI analysis for technology and data initiatives.
• Experience managing relationships with third-party vendors implementation partners and analytics service providers.
• Strong awareness of emerging trends in software engineering cloud technologies artificial intelligence machine learning data engineering and healthcare analytics demonstrating a commitment to continuous learning and technical excellence.
• Experience with modern data platform technologies including Databricks Apache Spark Python SQL Delta Lake Azure Data Factory Azure Synapse Analytics Power BI Tableau and enterprise reporting ecosystems.

Leadership & Behavioral Competencies:

• Strategic Influence: Ability to influence cross-functional stakeholders and senior executives to align technology data and analytics initiatives with business strategy.
• Servant Leadership: Leads by example with a hands-on approach empowering engineering and data teams while creating an environment of trust innovation and accountability.
• Customer & Business Focus: Demonstrates a deep understanding of customer needs healthcare workflows analytics needs and business drivers ensuring the platform delivers measurable value and exceptional user experiences.
• Change Management: Skilled at driving organizational and technology transformation promoting new processes platforms and modern data capabilities while guiding teams through change.
• Collaboration & Partnership: Proven record of building highly collaborative relationships across Product Operations Clinical Informatics Analytics Data Science and other departments to deliver complex solutions.
• Passion for Technology & Data: Exhibits a genuine passion for staying close to technology and data actively engaging in architecture discussions analytics strategy and fostering a culture of continuous learning experimentation innovation and engineering excellence.

Physical Requirements:

• Candidate MUST reside within a commutable distance to Irving TX and/or The Woodlands TX.
• Candidates within a 50-mile radius of Irving TX will be required to be onsite 2 days per week (Wednesdays and Thursdays).
• Up to 10% travel required.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g. H1B O1 E3 H1B1 TN F1 OPT F1 STEM OPT F1 CPT etc.) now or in the future.

If you will require McKesson to provide immigration support or sponsorship now or in the future you should not apply for this position.

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.

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