Director of Software Engineering
About the role
The Director, Software Engineering provides strategic, technical, and people leadership for Ontada’s 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 engineering—including microservices, APIs, distributed systems, and cloud-native delivery—is 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.
Responsibilities
- Define and lead the technical vision for Ontada’s VBC data ecosystem, including cloud data platforms, lakehouse and warehouse architectures, batch and streaming pipelines, shared data services, and governed data products.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Ensure all development and data management activities adhere to healthcare industry regulations, privacy and security standards, data governance policies, and McKesson’s internal quality frameworks. Implement robust governance around architecture standards, data stewardship, release management, and risk controls to maintain compliance and reliability.