
201 - 500 employees
Founded 2017
⚕️ Healthcare Insurance
☁️ SaaS
🏢 Enterprise
💰 $40M Series B on 2020-10
Healthcare Insurance • SaaS • Enterprise
Datavant is a company that provides a platform and network focused on making health data secure, accessible, and usable across the healthcare ecosystem. With a focus on data connectivity and interoperability, Datavant facilitates the movement of healthcare records across a vast network of organizations, including hospitals, clinics, health systems, and data partners. Their suite of products and solutions covers areas such as health data exchange, data transformation, and privacy compliance, serving various clients including health plans, healthcare providers, life sciences, and government organizations. Datavant's mission is to advance human health through improved data exchange and analytics.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $115k - $135k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⚡️ Product Operations
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2017
⚕️ Healthcare Insurance
☁️ SaaS
🏢 Enterprise
💰 $40M Series B on 2020-10
Healthcare Insurance • SaaS • Enterprise
Datavant is a company that provides a platform and network focused on making health data secure, accessible, and usable across the healthcare ecosystem. With a focus on data connectivity and interoperability, Datavant facilitates the movement of healthcare records across a vast network of organizations, including hospitals, clinics, health systems, and data partners. Their suite of products and solutions covers areas such as health data exchange, data transformation, and privacy compliance, serving various clients including health plans, healthcare providers, life sciences, and government organizations. Datavant's mission is to advance human health through improved data exchange and analytics.
• Own the inbound issue queue (Jira): classify, prioritize, and route every ticket using a combination of judgment and AI-assisted tooling • Use AI to accelerate intake review: summarize tickets, detect duplicates, suggest classifications, and flag missing information before routing to Engineering • Enforce SLA discipline and keep status current across CS, Retrieval Ops, and Engineering • Identify recurring error types, onboarding gaps, and systemic issues across the portfolio — and as we expand to new product lines • Use AI tools to surface patterns across large ticket volumes faster than manual review allows • Drive insights and influence decision-making using data about customer pain points • Become the go-to internal expert for Client Success, Sales, and Ops turn to when they need to understand how something works or why something may not be working as expected • Act as the communication layer between Client Success, Retrieval Ops, and Engineering on issue status and coordinate resolution.
• 3 - 5 years of experience in operations, technical support, implementation, customer success, or a related field • Demonstrable AI-first working style: you already use AI tools daily, have built workflows around them, and can show concrete examples of productivity gains • Experience or familiarity with issue tracking tools like Jira • Strong pattern recognition across large, messy datasets of issues or tickets • Clear, concise written communication for both technical and non-technical audiences • Comfortable building process from scratch; energized by ambiguity, not slowed by it.
• Health insurance • Health screenings and vaccination requirements • EEO commitment
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