Senior Manager, Observability Data Platform Engineering

CVS Health is a health care company focused on delivering more personal, convenient, and affordable health experiences. The Senior Manager, Observability Data Platform Engineering leads the strategy, engineering, operations, and evolution of the enterprise observability data platform, overseeing reliability, telemetry ingestion, security, automation, governance, and platform adoption while developing high-performing engineering teams.

Responsibilities:

• Lead the engineering, operations, and continuous evolution of the enterprise Observability Data Platform
• Own platform reliability, scalability, availability, performance, and operational health
• Oversee telemetry ingestion, observability data services, and platform capabilities supporting enterprise monitoring and analytics
• Define and execute the platform strategy and roadmap in partnership with Product, Architecture, Infrastructure, Security, and Engineering stakeholders
• Drive automation, operational efficiency, performance optimization, capacity planning, and continuous service improvement
• Establish engineering standards, governance processes, and security controls to ensure platform integrity, compliance, and lifecycle management
• Champion platform adoption, stakeholder engagement, and user enablement across the enterprise
• Lead, coach, and develop high-performing engineering teams while fostering a culture of ownership, innovation, and operational excellence
• Manage strategic vendor relationships and technology partnerships to support platform capabilities and business objectives

Requirements:

• 7+ years of experience supporting enterprise-scale data, platform, infrastructure, observability, or cloud engineering environments, including large-scale data ingestion and distributed platforms
• 5+ years of leadership experience building high-performing teams and delivering complex, cross-functional technical initiatives
• 5+ years of experience operating large-scale cloud and/or hybrid platforms with responsibility for reliability, monitoring, incident management, and operational excellence
• 3+ years of experience leading complex, enterprise-wide engineering initiatives across multiple stakeholder groups, business functions, and technology teams
• Proficiency with enterprise observability platforms, including Splunk, Cribl, and OpenTelemetry (OTel)
• Background in cloud-native data platforms and architectures, including Databricks, Azure, and distributed telemetry ecosystems
• Familiarity with Security Operations, SIEM platforms, and enterprise-scale observability, logging, and telemetry environments
• Understanding of streaming and messaging technologies, including Kafka and cloud-native services
• Expertise in Infrastructure as Code (IaC), automation, CI/CD practices, and modern platform engineering principles
• Experience with enterprise observability platforms, including Splunk and similar technologies
• Experience with cloud-native data platforms, telemetry pipelines, and modern observability architectures, including Databricks, Cribl, and OpenTelemetry (OTel)