Senior Engineering Manager, Data Engineering

🕒 July 14

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Logo of Omada Health

Omada Health

201 - 500 employees

Founded 2011

🏥 Healthcare

⚕️ Healthcare Insurance

🧘 Wellness

💰 $192M Series E on 2022-02

Healthcare • Healthcare Insurance • Wellness

Omada Health is a virtual care company focused on helping individuals achieve their health goals through personalized support and programs. The company offers comprehensive health management solutions for conditions like diabetes, hypertension, and musculoskeletal health. Omada provides one-on-one health coaching and smart devices to monitor and improve health, creating personalized care plans for its users. Its programs are designed to be accessible at no cost to participants when covered by their employer or health plan, making Omada a leader in delivering quality virtual care that is both personal and sustainable.

📋 Description

• 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 self-service analytics through trusted and reusable data capabilities. • Influence long-term technology strategy while partnering with engineering leaders across Omada to build a world-class data platform.

🎯 Requirements

• 10+ years of experience building and operating large-scale data platforms, analytics systems, or software platforms. • 5+ years of experience leading Data Engineering teams, with experience managing managers or multiple teams preferred. • Proven ability to build, mentor, and scale high-performing engineering organizations. • Demonstrated success defining technical strategy, driving execution, and delivering complex cross-functional initiatives. • Strong experience partnering with Product, Analytics, Data Science, and executive stakeholders. • Deep experience designing and operating modern cloud-based analytics platforms, including data warehouses, lakehouses, ELT/ETL pipelines, and data processing systems. • Strong understanding of data modeling, analytics architecture, semantic layers, and scalable data product design. • Experience implementing data quality, observability, governance, metadata, lineage, and access control capabilities. • Experience modernizing enterprise data platforms and driving adoption of modern data engineering practices. • Familiarity with AI and machine learning data workflows is a plus.

🏖️ Benefits

• Competitive salary with generous annual cash bonus • Equity grants • Remote first work from home culture • Flexible Time Off to help you rest, recharge, and connect with loved ones • Generous parental leave • Health, dental, and vision insurance (and above market employer contributions) • 401k retirement savings plan • Lifestyle Spending Account (LSA) • Mental Health Support Solutions • ...and more!

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