eLearning Products Quality Assurance Manager (Open to candidates local to Noida, India)

About Infopro Learning

Building Your Performance-Ready Workforce

At Infopro Learning, we're driven by a singular purpose: unlocking human potential. For over 30 years, we've been transforming the way organizations develop their most valuable asset - their people. As a comprehensive learning and talent consulting agency, we drive integrated development across individuals, teams, and organizations to build a performance-ready workforce.

A performance-ready workforce is one that combines the right skills, agility, and mindset to drive business success. It's where individuals become proficient faster, teams deliver exceptional results, and organizations adapt swiftly to change.

In today’s Human+AI era, performance-readiness means mastering new ways of working as AI disrupts traditional value streams and workflows. We empower organizations to navigate this transformation by cultivating the essential technological and human skills needed for evolving workflows, ensuring your workforce doesn't just adapt to change but they drive it.

Trusted by Fortune 500 companies globally and recognized with over 350 industry awards, we've helped millions of professionals unlock their potential. Ready to build your performance-ready workforce?

Full-time position

We are seeking an experienced and strategic eLearning Products Quality Assurance Manager with a proven track record of leading Quality Assurance departments to deliver high-quality software products in the eLearning domain. Possesses strong leadership skills, strategic planning abilities, and a commitment to fostering a culture of continuous improvement. As a QA Manager, adept at mentoring team members, developing QA strategies, managing resources effectively, and driving innovation in QA processes to ensure organizational success.

This role requires employees to work on-site at our Noida office. Candidates must be able and willing to commute to the office as part of their regular work schedule.

Key responsibilities include:

Resource Management:

• Allocate resources effectively to meet project timelines and objectives.
  

Stakeholder Management:

• Build and maintain relationships with stakeholders across the organization.
• Communicate QA initiatives, progress, and outcomes to senior management.

Budgeting and Cost Management:

• Manage the QA budget effectively, ensuring optimal resource utilization.
• Identify cost-saving opportunities without compromising quality.

Vendor Management for QA Tools and Services:

• Evaluate and manage relationships with vendors providing QA tools and services tailored to the eLearning domain.
• Ensure compatibility and integration of QA tools with eLearning platforms and workflows.

Data Analysis:

Analyze QA data, identify trends, create insights, and make data-driven decisions.                    

Continuous Improvement:

Drive a culture of continuous improvement within the QA department.

Implement industry best practices and innovative approaches to QA.

Core Competencies

• Strategic Thinking: Capacity to develop long-term QA strategies aligned with organizational objectives, anticipating future challenges and opportunities.

• Communication: Excellent verbal and written communication skills to effectively convey QA initiatives, progress, and outcomes to stakeholders at all levels of the organization.

• Problem-Solving: Strong analytical and problem-solving skills to identify root causes of issues, develop solutions, and drive process improvements.

• Collaboration: Proven ability to collaborate with cross-functional teams to ensure QA requirements are understood and integrated into product development processes.
  
  
• Adaptability: Flexibility to adapt to changing priorities, technologies, and business environments while maintaining a focus on quality and continuous improvement.

• Financial Acumen: Understanding of budgeting and cost management principles to effectively manage QA resources and identify cost-saving opportunities.
  

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
  
  
• Professional certifications such as Certified Manager of Quality/Organizational Excellence (CMQ/OE), QMS certification, or Six Sigma Black Belt would be advantageous.

Skills

• Testing Methodologies: In-depth knowledge of various testing methodologies and understanding how to apply these methodologies effectively in an AI-driven environment is essential.
  
  
• Automation Skills: Experience with test automation tools and frameworks is essential for efficiently testing AI systems.
  
  
• Data Analytics: Strong ability to analyze data from various sources to derive meaningful insights and inform QA strategies. Proficiency in statistical analysis, data visualization, and data interpretation is essential.

Required Language: English