Senior Engineering Manager, Data Engineering

Omada Health is on a mission to bend the curve of chronic disease.

Job overview

Our Data Engineering team builds and operates the data platform and curated data products that power analytics, reporting, experimentation, and AI-driven insights across Product, Clinical, Commercial, Finance, and Operations. We are looking for an experienced Senior Engineering Manager, Data Engineering to lead our data engineering organization and help shape the future of Omada's enterprise data platform.

As a Senior Engineering Manager, you will lead a team responsible for designing, building, and operating scalable data pipelines that serve as the trusted foundation for business intelligence, machine learning features, product analytics, operational reporting, experimentation, and advanced analytics.

You will partner closely with Data Architects, Product Managers, Analytics, Data Science, Governance, and Software Engineering teams to define the technical strategy, execution roadmap, and operating model for Data Engineering.

This role requires a strong balance of organizational leadership and technical depth. You will build high-performing engineering teams, drive platform strategy, and deliver reliable, scalable, and governed data capabilities that enable data-driven decision making across Omada.

Key Responsibilities

• Establish and execute a strategic roadmap for Omada's Data Engineering platform.
• Lead the delivery of scalable, reliable, and governed data products that enable analytics, reporting, experimentation, and AI-driven insights.
• Deliver trusted, reusable production datasets that power Applied Data Science, Product, Clinical, Commercial, Finance, Operations, and Executive analytics.
• Lead, develop and grow a high-performing Data Engineering organization through hiring, coaching, mentoring, and career development.
• Foster a culture of technical excellence, collaboration, accountability, and continuous learning.
• Empower teams to deliver high-impact solutions while maintaining a strong focus on quality and operational excellence.
• Partner with Product, Analytics, Data Science, Architecture, Governance, and Engineering leaders to define priorities and accelerate data-driven decision making across Omada.
• Translate business needs into scalable platform capabilities and trusted data products.
• Build strong relationships across the organization to drive alignment, transparency, and execution.
• Establish engineering excellence through improved data quality, reliability, observability, security, and platform performance.
• Define and monitor engineering and operational metrics to continuously improve platform health, cost efficiency, and developer productivity.
• Guide adoption of Improved reliability, quality, governance, and usability of enterprise data products.
• Provide technical leadership for architecture, platform evolution, scalable technologies, reusable frameworks, and engineering standards across Data Engineering.
• Expand...