Business Analyst, Operations Performance (Clinical Operations)

Our mission: to eliminate every barrier to mental health.

At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.

We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a strong positive ROI for employers and we are the only company in our category to earn clinical validation of net savings for customers.

We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.

What you’ll do:

• Develop and maintain scalable quality monitoring frameworks for the Clinical Ops department, including sampling strategies, QA rubrics, and calibration processes to ensure scoring consistency across reviewers and teams.
• Translate quality data into actionable insights: identify drivers of quality variation, surface root causes, and quantify the operational and member impact - turning findings into clear recommendations for Clinical Ops quality teams and leadership.
• Partner with Clinical Operations leaders and frontline stakeholders to design and evaluate quality improvement initiatives (e.g., training updates, workflow changes, automation opportunities), and measure lift over time.
• Build durable feedback loops by connecting quality insights to coaching, enablement, SOP updates, and knowledge management - ensuring learnings reach the people closest to the work.
• Leverage AI thoughtfully to accelerate quality workflows, such as rubric-assisted review, issue detection, and faster time-to-insight, while maintaining appropriate controls and human oversight.
• Own Clinical Operations quality measurement and reporting, including KPI definitions, scorecards, and recurring performance packages for key workflows.
• Support ad hoc analyses and special projects by quickly framing questions, pulling the right data, and delivering concise, decision-ready outputs.

What success looks like:

• Measurable lift in quality outcomes for Clinical Operations (e.g., improved member experience indicators such as CSAT, fewer repeat contacts/escalations, improved SLA + quality balance).
• Strong adoption of quality insights: Clinical Ops stakeholders implement changes based on your recommendations.