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Vida Health

Personalized digital health care with pay-for-performance

Quality Compliance & AI Operations Analyst

Regulatory Compliance & EthicsConfirmed live in the last 24 hours
Full-timeRemote in USA$80k - $90k /yr

About the Job

Requirements

  • A bachelor's degree in Healthcare Administration, Business, Quality Management, or a related field is required.
  • At least 3-5 years of experience in healthcare quality, process improvement, and healthcare technology execution across omnichannel environments, including voice, chat, email, and virtual or AI agents.
  • Practical experience or strong working knowledge using SQL to query data and build reports through tools such as Amazon Athena, Looker, or similar tools.
  • Hands-on experience with contact center speech analytics, rule-building, or Auto-QA features such as AWS Contact Lens, Genesys, or Zendesk.
  • Strong knowledge of healthcare regulatory requirements such as HIPAA and CMS, and quality improvement methodologies such as Lean and Six Sigma.
  • Experience managing Human-in-the-Loop audit workflows, SLA tracking, and QA calibration sessions.
  • Project management experience coordinating quarterly initiatives and implementing operational change.
  • Analytical and root-cause problem-solving skills and cross-functional communication skills.
  • Applicants must be authorized to work in the United States and be able to work from a state where Vida is registered; international work is prohibited.

Responsibilities

  • Develop and oversee quality programs to ensure compliance with applicable regulations, including HIPAA.
  • Identify and implement training initiatives to improve service center staff performance and quality based on automated compliance insights and audit trends.
  • Track and analyze KPIs to improve patient outcomes, operational efficiency, and service quality.
  • Design, build, and continuously tune AWS Auto-QA prompts and rule-building mechanisms using Amazon Connect Contact Lens and Evaluation Features to flag quality, sentiment, and regulatory compliance risks while minimizing AI hallucination rates.
  • Extract, query, and analyze quality interaction logs using SQL via Amazon Athena to build weekly defect reports, CSAT trend analyses, and performance dashboards.
  • Oversee Human-in-the-Loop QA review workflows, ensure adherence to SLAs such as 24-hour review for Level 1 high-risk incidents, and manage the QA appeals process.
  • Facilitate regular QA calibration sessions with leadership and Quality Analysts to maintain scoring consistency across manual and automated evaluations.
  • Oversee cross-functional escalation pathways, including potential privacy and security incidents, member complaints to third-party agencies, and internal partner coaching escalations.
  • Conduct audits, risk assessments, and root cause analyses to address compliance or quality-related issues.
  • Lead efficiency and quality initiatives using Lean, Six Sigma, and other methodologies based on quality findings, and review regulatory compliance across voice, chat, email, and AI agent communications.
  • Perform additional responsibilities as needed.

Desired Qualifications

  • Lean Six Sigma certification at the Yellow Belt or Green Belt level.
  • Familiarity with AI/LLM evaluation techniques or prompt tuning in a contact center setting.
  • Experience with privacy breach escalation protocols and formal complaint resolution processes, such as Better Business Bureau escalations.
  • Familiarity with business intelligence and observability tools such as Looker or DataDog.

About the Company

Vida Health

Personalized digital health care with pay-for-performance

Vida Health provides personalized health programs for conditions like diabetes, obesity, depression, and hypertension, serving individuals and employers. It blends human-centered care with technology by pairing live video sessions with registered dietitians, prescribing physicians, coaches, and licensed therapists with customized digital interventions and educational content. The platform uses machine learning to tailor each member’s journey using data from connected devices such as continuous glucose monitors, scales, and fitness trackers. A key differentiator is its pay-for-performance model, where up to 100% of fees are at risk if outcomes aren’t achieved, aligning incentives around real health improvements. The company’s goal is to deliver measurable health benefits—improving medication adherence, promoting weight loss, and reducing depression—while reducing overall healthcare costs for individuals and enterprise clients.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$216.5M
Headquarters
San Francisco, CA
Founded
2014

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