Director, Data Engineering – Platform

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $158.8k - $238.2k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Mosaic Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

👥 B2C

Healthcare • B2C

Mosaic Health is a national care delivery platform focused on expanding access to comprehensive primary care for consumers covered by Commercial, Individual Exchange, Medicare, and Medicaid health plans. It brings together multiple operating units and brands (including CareMore Health, Millennium Physician Group/MPG, Castlight Health, Vera Whole Health, and apree health) to deliver coordinated primary care services and related care-management capabilities across payer types. Mosaic Health’s corporate site and leadership roster reflect a centralized platform structure with executive leadership overseeing business units and strategic partnerships.

📋 Description

• Own execution of the enterprise data engineering and platform strategy, translating strategic direction into an operating model, multi-year roadmap, delivery priorities, and measurable outcomes • Establish enterprise data engineering operating models, engineering governance, standards, and operating principles • Lead platform modernization, cloud transformation, lifecycle management, automation, and operational maturity • Ensure enterprise platforms meet expectations for availability, scalability, security, resiliency, regulatory compliance, observability, cost effectiveness, and operational supportability • Direct multiple engineering managers and cross-functional teams across Platform Engineering, Data Engineering, Data Operations, and Data Integration • Develop workforce strategies, organizational design, staffing and succession plans, leadership development, recruiting strategy, and vendor strategy • Partner with Enterprise Architecture, Information Security, Compliance, Infrastructure, Data Governance, Analytics, Product, clinical, finance, and business leaders • Govern engineering patterns, automation, reliability, deployment, observability, and operational controls • Govern investment priorities, portfolios, capital investment, vendor selection, sourcing decisions, and modernization business cases • Manage operating and capital budgets, cloud spend, software licensing, procurement, vendor contracts, managed services, and ROI analysis • Represent Data Engineering & Platform in executive planning, governance, prioritization, and strategic investment forums • Establish organizational metrics and drive continuous improvement in delivery, reliability, service quality, automation, incident management, and organizational effectiveness • Build a high-performing, inclusive engineering culture focused on innovation, operational excellence, customer service, and reliable enterprise delivery

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline; Master’s degree preferred • 9–12 years of progressive experience in technology leadership, data engineering, platform engineering, enterprise data platforms, cloud data platforms, or related disciplines • 5+ years leading managers and highly technical resources in enterprise engineering, platform engineering, data engineering, integration, or data operations environments • Demonstrated experience leading enterprise transformation, platform modernization, cloud transformation, or large-scale data engineering initiatives • Experience directing multiple engineering teams and leading through managers, technical leaders, delivery partners, and vendors • Experience managing or materially influencing multi-million-dollar operating and capital budgets, technology investment portfolios, ROI analysis, vendor management, and contract negotiations • Executive communication experience presenting technology strategy, investment tradeoffs, delivery risks, and business outcomes to senior leadership • Demonstrated success partnering with enterprise architecture, information security, compliance, analytics, product, finance, clinical, and business leadership stakeholders • Strong working knowledge of modern cloud data platforms, data engineering practices, platform operations, automation, reliability engineering, data governance, cybersecurity, and operational excellence frameworks • Preferred: experience within healthcare or another highly regulated industry • Preferred: experience supporting enterprise AI, machine learning, advanced analytics, interoperability, enterprise reporting, and digital transformation initiatives • Preferred: experience governing enterprise cloud platforms, modern data architectures, data engineering operating models, and large-scale engineering organizations • Preferred: experience leading enterprise modernization and organizational transformation initiatives while balancing strategy, execution, cost, risk, and delivery capacity • Preferred: experience with Databricks or comparable enterprise lakehouse, cloud data platform, data engineering, or analytics platform capabilities • Preferred: strong knowledge of cloud-native engineering, enterprise data governance, cybersecurity, data protection, observability, automation, and operational excellence frameworks