QA Technology Professional – Healthcare

QA Delivery Professional

Perficient is a global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world's most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients.

Join a company where bold ideas and brilliant minds converge to redefine what's possible - while building a career filled with growth, balance, and purpose.

The QA Delivery Professional is a senior technical leadership role responsible for defining and executing Quality Engineering (QE) strategy, ensuring successful delivery of QA services, and driving quality transformation across one or more strategic healthcare client accounts. The role combines deep expertise in test automation, quality engineering, AI-enabled testing, Dev Ops, and enterprise testing practices with strong client-facing leadership and delivery management capabilities.

This individual serves as the primary Quality Engineering advisor to healthcare clients, partnering with technology leaders, architects, product teams, and delivery organizations to establish scalable testing solutions, modern automation frameworks, and continuous quality practices. The QA Delivery Professional is accountable for quality outcomes, technical innovation, client satisfaction, team development, and overall QA service excellence. The role is expected to actively contribute to account growth, solutioning, and quality transformation initiatives

Technical Leadership & Quality Engineering Strategy

• Define and execute enterprise Quality Engineering strategies across healthcare platforms, applications, and digital transformation initiatives.
• Serve as the technical authority for QA architecture, automation frameworks, test tooling, and engineering best practices.
• Lead adoption of modern Quality Engineering practices including Shift-Left, Shift-Right, Continuous Testing, and Quality Gates.
• Drive enterprise test automation strategy to increase automation coverage, improve release quality, and reduce testing cycle times.
• Establish standards for functional, API, integration, performance, data, accessibility, and end-to-end testing.
• Partner with engineering and architecture teams to embed quality throughout the Software Development Lifecycle (SDLC).
• Evaluate emerging technologies and recommend innovative testing solutions that improve quality, efficiency, and delivery speed.

AI-Driven Quality Engineering

• Champion adoption of AI-powered testing solutions, including intelligent test generation, self-healing automation, predictive analytics, and defect prevention.
• Identify opportunities to leverage Generative AI for test case development, requirement analysis, defect management, and quality reporting.
• Establish governance, best practices, and responsible use of AI technologies within Quality Engineering programs.
• Evaluate and implement AI-enabled testing tools and frameworks to enhance productivity and software quality.

QA Delivery Oversight

• Own end-to-end quality delivery across multiple programs, projects, and product teams.
• Ensure services are delivered according to contractual commitments, quality standards, KPIs, and SLAs.
• Coordinate with project managers, product owners, business stakeholders, and QA leads to align delivery plans and release schedules.
• Drive consistent test planning, execution, reporting, defect management, and release readiness processes.
• Monitor quality metrics and drive corrective actions to improve delivery performance.

Healthcare Domain Leadership

• Provide Quality Engineering leadership for healthcare applications, platforms, and business processes.
• Ensure testing strategies address healthcare-specific requirements including data privacy, interoperability, regulatory compliance, and patient-centric workflows.
• Collaborate with client stakeholders across payer, provider, pharmacy, healthcare technology, or life sciences organizations.
• Apply healthcare domain expertise to identify quality risks and ensure business-critical healthcare processes are adequately validated.
• Support quality initiatives involving claims processing, member services, electronic health records (EHR/EMR), clinical systems, patient engagement platforms, healthcare portals, and related healthcare solutions.

Client Consulting & Stakeholder Management

• Serve as the primary QA and Quality Engineering point of contact for client leadership teams.
• Build trusted advisor relationships with technology, business, and delivery stakeholders.
• Translate complex quality, testing, and delivery challenges into actionable recommendations.
• Lead quality governance reviews, executive presentations, and strategic planning discussions.
• Identify opportunities to expand Quality Engineering services and support account…