
Director, Member Services, Medicaid
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in Kentucky, +3 more states.
• Spearhead the quality engineering strategy and its implementation across a specific portfolio, domain, or segment.
• Mentor and guide quality engineering managers, leads, engineers, and SDETs; enhance organizational design, talent development, and team performance.
• Set quality goals, KPIs, and governance for the portfolio to elevate delivery quality, release readiness, and production stability.
• Integrate built-in quality throughout planning, design, development, testing, and deployment processes.
• Manage functional, integration, end-to-end, regression, and release validation testing efforts.
• Handle portfolio-level quality risk management, addressing defect trends, release issues, environmental challenges, and inter-team dependencies.
• Promote automation-first methodologies and incorporate quality signals, validation, and gates into CI/CD pipelines.
• Champion the adoption of AI-driven quality engineering capabilities and innovative methodologies.
• Advocate for the modernization of quality frameworks, tools, and testing strategies for APIs, distributed systems, and cloud-native platforms.
• Supervise non-functional quality practices, encompassing performance, resiliency, operational readiness, and security validation.
• Leverage metrics and production insights to foster continuous improvement, maturity, and prioritization of investments.
• Collaborate with segment and enterprise stakeholders to ensure execution aligns with the overall quality engineering strategy, standards, and reference architecture direction.
• Guarantee the responsible use of AI and adherence to relevant security, privacy, regulatory, and operational standards.
• Attain enhanced release stability, reduced escaped defects and production incidents, increased automation adoption, improved CI/CD integration, and elevated quality engineering maturity.
• Manage geographically distributed teams while working closely with Product, Engineering, Architecture, Platform, DevOps, and enterprise quality partners.
• Bachelor’s degree or equivalent experience.
• Over 10 years of experience in software engineering, quality engineering, testing, or related technical fields.
• More than 5 years of leadership experience overseeing quality engineering, test automation, or software delivery teams in large enterprise settings.
• Proven experience leading quality engineering execution across multiple agile teams or a complex application/product portfolio.
• Track record of successfully driving quality engineering modernization, including automation, tooling, process enhancement, and metrics-driven execution.
• Solid understanding of Agile, DevOps, and CI/CD methodologies.
• Proficient in API, UI, integration, regression, and end-to-end testing techniques.
• Knowledge of distributed systems and contemporary application architectures.
• Excellent communication and stakeholder management abilities, with a capacity to influence cross-functional leaders.
• Experience in matrixed organizations and managing geographically distributed teams.
• Demonstrated success in leading the adoption of AI capabilities within Quality Engineering processes.
• Proven ability to utilize AI to enhance test planning, design, automation, and overall QE effectiveness.
• Familiarity with AI-enabled solutions for test case generation and optimization, automation acceleration and maintenance, change impact assessment and risk analysis, requirements traceability and coverage verification, and release readiness and quality risk assessment.
• Experience in establishing governance, metrics, and best practices for the responsible and effective integration of AI in Quality Engineering organizations.
• Work from a dedicated environment free of ongoing interruptions to safeguard member PHI / HIPAA information.
• Home internet service with a minimum of 25 Mbps download and 10 Mbps upload speeds.
• Preferred: Experience in healthcare or other highly regulated industries.
• Preferred: Familiarity with domains related to member, provider, digital experience, or enterprise platforms.
• Preferred: Experience with enterprise quality tools, test management systems, and engineering lifecycle platforms.
• Preferred: Understanding of microservices, APIs, event-driven architectures, and cloud-native designs.
• Preferred: Experience in supporting non-functional testing, including performance and resiliency assessments.
• Preferred: Exposure to AI-enabled quality engineering or intelligent automation capabilities.
• Preferred: Knowledge of enterprise reference architecture principles, patterns, and standards across cloud, hybrid, on-premise, and SaaS environments.
• Bonus incentive plan based on company and/or individual performance.
• Medical benefits.
• Dental benefits.
• Vision benefits.
• 401(k) retirement savings plan.
• Paid time off.
• Company holidays.
• Personal holidays.
• Paid parental leave.
• Paid caregiver leave.
• Short-term disability.
• Long-term disability.
• Life insurance.
• Wellness and smart healthcare decision support.
• Remote work arrangement.
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