Experience in healthcare, regulated industries, or multi-entity environments.
Experience modernizing legacy data platforms alongside cloud-native systems.
Experience partnering closely with Finance, Marketing, and Operations leadership.
Master's degree in Computer Science, Information Systems, Engineering.
Knowledge, Skills, and Abilities
This role involves overseeing team members and interaction and collaboration with other departments and requires excellent judgment and interpersonal skills.
Hands-on experience operating production data systems with defined uptime, delivery, and support expectations.
Ability to design, operate, and evolve enterprise-scale data platforms that support analytics, reporting, and operational use cases.
Strong working knowledge of cloud data warehouses, analytics engineering tools (e.g., dbt or equivalent), orchestration frameworks (e.g., Airflow or equivalent), and ELT tools (e.g., Fivetran or equivalent).
Experience supporting and stabilizing legacy ETL systems such as SSIS and managing hybrid data environments.
Familiarity with Azure-based data infrastructure & snowflake, security, and cost considerations.
Ability to establish production support models, SLAs, and incident response processes.
Ability to translate business needs into scalable technical solutions and communicate clearly with non-technical stakeholders.
Proven ability to lead teams, set priorities, and build sustainable operating models.
GoHealth Core Values
Benefits
Health insurance
Additional Information
You're more valuable than ever - And that's just how we'll make you feel.
The Senior Manager, Data Services is responsible for leading the Company's enterprise data platforms and the teams that operate them. This role owns the systems that deliver trusted data to Finance, Marketing, Growth, Operations, Revenue Cycle, People, Clinical teams, and Executive Leadership. The scope of this role includes both modern cloud platforms and legacy data systems. The focus is on ensuring stability, reliability, and continuity for the business today, while steadily modernizing the data environment to reduce risk, eliminate manual processes, and support future growth. This is a people-leader role with direct accountability for platform reliability, data readiness, and enterprise data trust.