
51 - 200 employees
๐ฅ Healthcare
๐ค Artificial Intelligence
โ๏ธ SaaS
๐ฐ $30M Seed on 2025-02
Healthcare โข Artificial Intelligence โข SaaS
Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.
๐ฅ 21 minutes ago
๐บ๐ธ United States โ Remote
๐ต $130k - $165k / year
โฐ Full Time
๐ก Mid-level
๐ Senior
๐ Data Scientist
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51 - 200 employees
๐ฅ Healthcare
๐ค Artificial Intelligence
โ๏ธ SaaS
๐ฐ $30M Seed on 2025-02
Healthcare โข Artificial Intelligence โข SaaS
Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.
โข Own the modernization engagement lifecycle: scoping, SOW alignment, kickoff, milestone tracking, status reporting, and handoff โข Serve as primary point of contact for partner stakeholders during engagements โข Coordinate across engineering, data mapping, cloud/infrastructure, and client integration resources โข Manage engagement timelines, risks, and dependencies across 2-3 concurrent engagements โข Run weekly status calls with partner teams โข Ensure clean handoff to the Client Integration team post-modernization โข Build and refine the engagement playbook for repeatability and scalability โข Track capacity across concurrent engagements and flag resource conflicts early
โข Bachelor's degree in Engineering, Business, Information Technology, or a related field โข 4-7 years in technical project/program management, professional services delivery, or technical consulting โข Experience managing data platform, cloud infrastructure, or data integration projects โข Sufficient technical fluency to engage in conversations about Azure, Databricks, data pipelines, and networking โข Strong communication skills: clear status reporting, expectation management, risk escalation โข Ability to travel for engagement kickoffs, key milestones and on-site working sessions 20-30% of the time
โข Competitive salaries with equity packages โข Robust medical/dental/vision insurance โข Flexible working hours โข Hybrid work options โข Inclusive environment that fosters creativity and innovation
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