Senior Manager, Data Services

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., Essential Duties and Responsibilities * Own the day-to-day and strategic operation of the Company’s enterprise data platforms, including modern cloud systems and legacy data environments (i.e. Snowflake). * Ensure platform stability, performance, security, and cost management. * Lead data ingestion, transformation, and orchestration processes across modern and legacy tooling. * Establish and enforce standards for how data is built, promoted, and released for downstream use. * Partner with Finance, Marketing, Growth, Operations, and Business Intelligence (DEMI) teams to ensure data is accurate, timely, and ready for decision-making. * Define and manage production support processes, including on-call coverage, escalation, and root cause analysis. * Stabilize and document legacy SSIS and related pipelines while defining a clear modernization path with Fivetran. * Reduce manual processes, duplicated logic, and person-dependent workflows. * Embed data quality checks and validation into pipelines (dbt , airlfow). * Lead, mentor, and develop data engineering and platform team members. * Prioritize work based on business risk, operational impact, and long-term platform health.

GoHealth Core Values

GoHealth’s Core Values, listed below, are essential functions of this position: * Collaboration: Takes ownership for collectively establishing productive partnerships and relationships and seek to gain joint understanding of priorities and objectives so that the greater good of the organization and those we serve is always at the forefront. * Innovation: Consistently uses good judgment, applying creativity to overcome obstacles and increasing effectiveness and efficiency through process and other forms of innovation. * Diversity & Inclusion: Fosters diversity and inclusion, to be able to better understand team members, our customers and partners. Engages the strengths and talents of each GoHealth team member, creating an environment of involvement, respect and connection where the richness of ideas, backgrounds and perspectives are harnessed. * Courage & Integrity: Models and practices the highest ethical and professional standards; demonstrates pride and personal interest in our patients, partners and fellow team members, deeply engaging in the business. Makes decisions, with a focus on doing the right thing; treats team members, our customers, partners and vendors with dignity, consideration, open-mindedness and respect. * Accountability: Always shows initiative, demonstrates a bias to action and gets things done. Actively accepts responsibility for diverse roles, obligations and actions that positively influence patient and customer outcomes, our partnerships and the healthcare needs of our communities.

GoHealth Leadership Principles

GoHealth’s Leadership Principles, listed below, are essential functions for this position: * Create Shared Purpose: Breathe life into our vision and mission. Speak to our future and create a line of sight for our team members. Set goals and communicate a plan of action. Empower others to deliver. * Inspire and Motivate: Celebrate and share success. Grow and develop our team members. Provide direct feedback that enables others to reach their potential. Identify when to lead and embrace the opportunity to follow. * Plan, Execute, Adapt and Deliver: Leverage analytics and experience to make better decisions. Possess a bias towards action and manage risk. Be agile, pragmatic and adjust. Identify, acknowledge, plan, implement and follow-up.

Additional Requirements * Office Environment: Tasks may be conducted within a climate-controlled office setting. * Physical Activity: The role may require the ability to lift, carry, push, or pull materials, supplies, and equipment (up to 15 lbs.) Duties typically involve a combination of sitting, standing, and walking, with frequent changes in position. * Travel: Travel may be required, including travel between Company locations and out-of town destinations as needed (5%). * Safety Equipment: May require the use of safety equipment for infection prevention.

Note: This Job Description is not inclusive of all the duties of the position. You may be asked by Leaders to perform other duties. Leadership may revise this job description at any time.

Do you have experience in Senior leadership?, Education Required: * Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.

Licenses/Certifications Required: * None

Work Experience Required:

• 8+ years of experience in data engineering, analytics engineering, or data platform roles.
• 3+ years of experience leadership, specifically leading enterprise data or platform teams.

Preferred Qualifications, Education, Licenses, Certifications, Experience, etc.:

• 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.