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Project Overview
We are seeking a QA Automation Lead to drive Enumerate’s quality strategy, oversee the development of automated testing frameworks, and provide leadership in building a modern QA function. The role goes beyond hands-on automation engineering; it requires strategic vision, leadership, and the ability to champion AI-enhanced QA practices across teams.
The engagement will be executed under a Contractor of Record arrangement and structured as project-based work, with clear deliverables and measurable outcomes.
Key Project Responsibilities
- Strategic Leadership: Define the vision and roadmap for automated testing and quality engineering at Enumerate.
- Framework Oversight: Guide the architecture and evolution of scalable test automation frameworks.
- AI-Forward QA Innovation: Identify and implement opportunities to use AI for intelligent test case generation, self-healing tests, defect prediction, and quality insights.
- Team Coaching: Mentor engineers and cross-functional teams on QA best practices, automation adoption, and quality mindset.
- Cross-Functional Collaboration: Partner with product management, engineering, and delivery coaches to ensure quality is built into every stage of the development lifecycle.
- Governance & Metrics: Define quality standards, KPIs, and reporting mechanisms to monitor and communicate quality health across projects.
- Continuous Improvement: Drive retrospectives and implement improvements in QA strategy and practices.
- Quality strategy and automation roadmap tailored for Enumerate’s AI-driven products.
- Leadership in delivering automated test frameworks across multiple projects.
- AI-enhanced QA proof-of-concepts and integrations into development pipelines.
- Coaching and upskilling sessions for delivery and engineering teams.
- Dashboards and reports on quality metrics and delivery readiness.
- Proven experience as a QA Automation Lead, QA Manager, or Senior Test Architect.
- Demonstrated ability to define and execute QA strategies at an organizational or program level.
- Deep expertise in automated testing frameworks, CI/CD integration, and modern software delivery practices.
- Strong leadership and mentoring skills with distributed/remote teams.
- Solid understanding of software development life cycles and quality processes.
- Experience implementing AI-driven QA solutions
- Familiarity with cloud-native architectures and testing strategies for distributed systems.
- Background in testing AI/ML-enabled applications.
- Excellent communication and stakeholder management skills, with the ability to influence leadership
Key Skills
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