The ideal candidate for this role has a strong background and interest in medical network development and relationships, strategic thinking, executing a process across multiple internal and external stakeholders, experience with client service and leading company representation externally, and an ability to independently drive partnerships from inception through negotiation through execution.
This candidate should also be willing go beyond what is available in current Open Source frameworks and customize the these stacks if needed to make them better fit for business needs, and contribute back to open source community.
Facilitate the development of systematic tracking and measuring mechanisms for provider performance in coordination with partnersl; facilitate the development of value-based payment models between Collective Health and our partners.
Collaborate with Compensation & Benefits, Finance and senior sales leadership to design sales incentive compensation programs that provide market-competitive pay, reinforce sales organization strategy, and align with business and sales organization objectives.
Own the automation initiatives across your partners internally and externally to build for scale and efficiency; develop a culture of continuous improvement to continually raise the bar of execution and accountability.
Identify and automate the end-to-end smoke and regression test cases; enable developers and QA Engineers to maintain and increase end to end; generate metrics on smoke & regression backlog and test automation progress.
Collaborate with team members, understand their processes and workflows, prioritize their ideas and innovations and develop improvements; assist in the architecting of new products, features, and capabilities.
As a Quality Assurance Engineer, you will work with developers and product owners to understand the scope of new features, validate them to ensure product meets our product and design requirements and provide the scrum team transparency into the quality of features.
Build might range from building domain specific languages to help ops configure and manage plan designs, intelligent call and ticket routing to optimize time to address an inquiry, and software to reduce manual data entry via OCR and text analysis.