Manager - Quality Engineering

Company Overview

Acentra Health exists to empower better health outcomes through technology, services, and clinical expertise. Our mission is to innovate health solutions that deliver maximum value and impact.

Lead the Way is our rallying cry at Acentra Health. Think of it as an open invitation to embrace the mission of the company; to actively engage in problem-solving; and to take ownership of your work every day. Acentra Health offers you unparalleled opportunities. In fact, you have all you need to take charge of your career and accelerate better outcomes - making this a great time to join our team of passionate individuals dedicated to being a vital partner for health solutions in the public sector.

Job Summary And Responsibilities

Acentra Health is seeking a Quality Engineering Manager to lead quality engineering teams and define quality strategy for a healthcare product domain, platform, or business unit. This role is accountable for people leadership, delivery quality, automation maturity, AI adoption, stakeholder alignment, and continuous improvement.

• Manage quality engineering teams, team leads, or senior engineers responsible for healthcare product and platform quality.
• Define and execute quality strategy, staffing plans, automation roadmap, metrics, and continuous improvement priorities for assigned areas.
• Partner with product, engineering, operations, client delivery, security, and compliance leaders to align quality with business outcomes.
• Drive adoption of scalable automation frameworks, CI/CD quality gates, AI-enabled testing tools, quality dashboards, and reusable practices.
• Own quality metrics, defect trends, release readiness, resource allocation, risk management, and post-release learning.
• Lead hiring, onboarding, performance management, career development, calibration input, and succession planning for quality talent.
• Manage vendor, contractor, or partner resources where applicable and ensure delivery expectations are met.
• Support budget planning, capacity forecasting, and prioritization of quality investments.
• Create a culture of accountability, quality ownership, psychological safety, innovation, and compliant healthcare delivery.
  
  

• 15-17 years of progressive quality engineering experience, including people leadership or management responsibility.
• Strong technical background in test automation, CI/CD, API/integration testing, quality metrics, Agile delivery, and release governance.
• Experience defining quality strategy across multiple products, teams, modules, or services.
• Demonstrated ability to manage performance, coach talent, plan staffing, and lead through change.
• Strong stakeholder management, business alignment, executive communication, and decision-making skills.
• Understanding of healthcare technology risks, privacy/security expectations, and regulated delivery environments.
  
  

• Healthcare technology leadership experience across payer, provider, clinical, operational, claims, eligibility, or data platforms.
• Experience managing budgets, vendors, shared services, distributed teams, or quality transformation programs.
• AI/ML fundamentals or advanced AI-QE certification with practical experience scaling AI-assisted testing.
  
  

• Work with a strong understanding of healthcare data sensitivity, including PHI/PII handling, privacy-by-design, and secure test-data practices.
• Follow applicable company policies and healthcare compliance expectations, including HIPAA-aligned privacy and security practices where applicable.
• Support quality controls for healthcare workflows such as eligibility, claims, clinical, member, provider, case management, reporting, and interoperability scenarios when relevant.
• Promote accessibility, auditability, traceability, and documentation suitable for regulated healthcare environments.
  
  

• Scale responsible AI-assisted QE practices across teams; guide tool selection, adoption metrics, governance, training, and risk controls.
  
  

• Domain quality objectives achieved with measurable improvements in defect leakage, cycle time, automation, and release predictability.
• Strong talent outcomes, retention, succession readiness, and performance management discipline.
• Clear alignment with product, engineering, compliance, operations, and business priorities.
• Effective AI/automation adoption across teams with governance and value measurement.
• Budget, resource, and vendor execution aligned to business needs.
  
  

• Expected team scope: 10-15 Quality Engineering professionals or equivalent organizational scope, depending on business need.
• Accountable for coaching, performance, workforce planning, capability building, and quality culture.