Phil, Inc.

Director

• Define and run a quality strategy and AI-enabled monitoring roadmap
• Move quality from manual, after-the-fact audits to automated, real-time controls
• Implement AI monitoring to flag error signals before they reach patients
• Own quality for operational workflows and the supporting platform
• Partner with Engineering and Product on test automation and release validation
• Standardize workflows, documentation, and tooling across patient support, pharmacist, and pharmacy technician teams
• Embed controls at the point of work
• Run an escalation framework assigning every quality issue an owner, date, and path forward
• Hold partner leaders accountable for quality issues
• Lead the audit, analysis, and quality engineering team of approximately 10 people
• Provide leadership with real-time visibility into error rates and drivers
• Learn core workflows, meet partner leaders, and deliver root-cause reviews with corrective actions
• Establish an initiative tracker and team plan
• Launch an automated or AI-enabled control in production
• Standardize executive-ready quality reporting
• Reduce error rates across operational and technical workflows by 50% from baseline
• Expand quality coverage without adding audit headcount
• Develop at least one emerging leader

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