SlipstreamJobsFresh Startup & VC-Backed Jobs

Quality Compliance & AI Operations Analyst

Vida Health - Remote - Remote - posted 2026-10-22

Apply on the company site

SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.

Vida Health is a virtual obesity care provider combining evidence-based treatment with advanced technology and top-notch healthcare providers. The company serves Fortune 100 companies, major national payers, and large providers. The Quality Compliance & AI Operations Analyst role is an individual contributor position within Vida Member Services, responsible for executing quality assurance initiatives, driving continuous process improvements, and optimizing contact center workflows across omni-channel interactions (voice, chat, email, and AI agents). This is a hands-on role requiring strong cross-functional collaboration, project management skills, and expertise in healthcare compliance, speech analytics, and operational data analysis within a remote healthcare contact center environment. Key Responsibilities: - Develop and oversee quality programs ensuring compliance with applicable regulations (HIPAA, CMS). - Identify and implement training initiatives to enhance service center staff performance 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 (Amazon Connect Contact Lens/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 (HITL) QA review workflows, ensuring strict adherence to SLAs (e.g., 24-hour review for Level 1 high-risk incidents) and managing 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 regulatory compliance review across all communication channels. Requirements: - Bachelor's degree in Healthcare Administration, Business, Quality Management, or related field. - Minimum 3–5 years of experience in healthcare quality, process improvement, and healthcare technology execution across omni-channel environments (voice, chat, email, and virtual/AI agents). - Practical experience or strong working knowledge using SQL to query data and build reports (e.g., via Amazon Athena, Looker, or similar tools). - Hands-on experience with contact center speech analytics, rule-building, or Auto-QA features (e.g., AWS Contact Lens, Genesys, or Zendesk). - Strong knowledge of healthcare regulatory requirements (HIPAA, CMS) and quality improvement methodologies (Lean, Six Sigma). - Experience managing Human-in-the-Loop (HITL) audit workflows, SLA tracking, and QA calibration sessions. - Strong project management skills with experience coordinating quarterly initiatives and implementing operational change. - Excellent analytical, root-cause problem-solving, and cross-functional communication skills. Preferred Qualifications: - Lean Six Sigma certification (Yellow Belt or Green Belt). - 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 (e.g., BBB escalations). - Familiarity with BI and observability tools such as Looker or DataDog.

Similar roles