Quality Engineering Manager 2 - V&V IoT & Cloud Applications

Company Overview: Schneider Electric is a global leader in energy management and automation, committed to providing innovative solutions that ensure Life Is On everywhere, for everyone, and at every moment. We are seeking a seasoned Quality Engineering leader to drive quality transformation across IoT, Edge and Cloud-based Smart Building solutions. This role is accountable for quality strategy, automation transformation, AI-enabled testing, test environments, test data management, and development of high performing QA teams.

Key Deliverables

• Define enterprise QA strategy.
• Establish scalable test environments and IoT labs.
• Implement test data management.
• Drive automation across UI/API/integration/performance testing.
• Institutionalize AI-enabled quality practices.
• Improve release quality KPIs.
• Build and mentor a world-class QA organization.

Responsibilities:

Leadership & Team Management

• Lead and manage QA team including Automation engineers, Edge and Cloud test engineers.
• Define team objectives, KPIs, and performance goals.
• Mentor teams and foster a culture of accountability and innovation.

Quality Strategy & Governance

• Develop and execute the organization's QA strategy aligned with business objectives.
• Establish testing standards, methodologies, and best practices.
• Own quality roadmap, quality metrics, governance framework, release readiness, and risk management. 
• Drive process improvements and Quality Engineering practices across product teams.

Test Architecture, Environment & Data Management 

• Own test strategy across Edge, IoT, Cloud, APIs and Analytics platforms.
• Establish device labs, simulators, digital twins, test environments and comprehensive test data management practices.

• Oversee test planning, estimation, execution, and defect management activities.
• Ensure adequate test coverage across functional, integration, regression, performance, and security testing.
• Review and approve test strategies, test plans, and release readiness criteria.

Automation & Innovation

• Drive automation-first culture. Expand automation coverage across UI, API, integration, performance, and infrastructure testing.
• Evaluate and implement new QA tools, technologies, and industry best practices.
• Promote shift-left testing and DevOps quality practices.
• Leverage GenAI for test design, script generation, maintenance, and predictive quality analytics.

Stakeholder Collaboration

• Collaborate closely with Product Management, Engineering, DevOps, and Customer Success teams.
• Participate in release planning and risk assessment activities.
• Communicate quality status, risks, and mitigation plans to senior leadership.

Requirements:

• Bachelor’s degree in computer science, Engineering, or a related field.
• 15+ years of experience with deep expertise in cloud & edge testing; 5+ years leading large QA teams;
• Solid understanding of CI/CD tools (Jenkins, GitLab, GitHub Actions).
• Familiarity with cloud environments (AWS, Azure) and containerization (Docker, Kubernetes).
• Experience working in Agile/Scrum environments, with experience in Test Management tools like Jira and X-Ray.
• Experienced in Managing, Coordinating, Planning, and executing the testing with multiple cross functional team and Agile process.
• Preferred experience in Smart Buildings, IoT platforms, or cloud-based data intensive systems
• Leadership Skills: Proven ability to lead and manage engineering teams.
• Advanced verbal and written communication skills including the ability to explain and present technical concepts to a diverse set of audiences.
• Good judgment, time management, and decision-making skills
• Strong analytical and problem-solving abilities.
• Comfortable working directly with both technical and non-technical audiences
• Willingness to work outside documented job description. Has a “whatever is needed” attitude.
• Up-to-date knowledge of technology trends and industry standards.