Garner Health

Head of Data Implementations & Operations

Garner Health

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $170,000 - $210,000 per year

Job Level

Lead

Tech Stack

ETLSQL

About the role

  • Lead, mentor, and grow a high-performing team responsible for the end-to-end implementation and ongoing maintenance of data feeds from carriers, TPAs, PBMs, and benefits administration systems
  • Develop and scale the operational processes for data and network configuration, driving improvements in efficiency, quality, and timeliness to support Garner’s growth
  • Act as the senior leader for the data implementations function, serving as a point of escalation and representing the team in strategic meetings with key clients and partners
  • Collaborate closely with Product, Engineering, and Customer Success leadership to drive strategic projects, improve tooling, and ensure the implementation process scales effectively
  • Act as the subject matter expert for your team, guiding them through complex troubleshooting of data file issues and overseeing the research and implementation of provider network configurations
  • Hold the team accountable to high standards of operational excellence, establishing key metrics and processes to ensure data is onboarded accurately and securely

Requirements

  • 5+ years of experience in an operations role within a fast-paced startup, high-growth tech company, or other complex, high-performance organization
  • Proven experience managing and developing a team of individual contributors, with a track record of holding your team accountable to performance goals and quality standards
  • Strong data fluency and analytical skills, and a strategic mindset with the ability to learn complex systems quickly, identify opportunities for process improvement, and execute on them effectively
  • Exceptional project management and stakeholder communication skills, with the ability to manage difficult conversations and build strong relationships with both technical and non-technical counterparts
  • Familiarity with healthcare data sets, particularly claims and eligibility files
  • Knowledge of common data exchange tools and protocols, including SFTP, ETL processes, and data mapping
  • Proficiency with SQL and Google Sheets for data analysis and manipulation
  • You are a proactive, resourceful problem-solver who thrives in a dynamic environment and can navigate ambiguity to drive results