Deputy General Manager - Corporate Quality
Job Description
Location: Hyderabad, Bangalore, or Chennai
Exp- 8+
Job Summary
The DGM – Corporate Quality will work closely with the relevant stakeholders to drive training programs in Lean Six Sigma, analytics, digital transformation, and related disciplines, with a strong passion for designing and delivering high-impact learning interventions.
Key Responsibilities
• Design and support structured, outcome-focused training programs aligned with organizational performance goals.
• Modernize learning delivery by leveraging digital platforms, tools, and blended learning methods for scalable capability building.
• Ensure all initiatives incorporate practical, real-world applications to enable immediate on-the-job impact.
• Support and partially lead initiatives to build organizational CI capability, embedding standard methodologies and best practices.
• Coach and mentor teams in continuous improvement and problem-solving techniques to drive execution discipline.
• Promote and enable data-driven decision-making to enhance operational excellence across functions.
• Apply strong AI and analytics acumen to enhance the organization’s CI DNA, enabling faster and predictive insights.
• Embed intelligence into problem identification, solution design, and control mechanisms to drive sustainable and scalable improvements.
Skills & Experience
• Strong understanding of Continuous Improvement, Lean, or Operational Excellence frameworks
• Demonstrated experience in training design, facilitation, or capability development
• Working knowledge of AI, analytics, and digital tools applied to process improvement
• Proven ability to coach teams and influence cross-functional stakeholders
• Strong analytical mindset with the ability to translate data into actionable insights
• Requirements
• Education: Any Bachelor's or Master’s degree
• Experience: Minimum 10-12 years of overall experience, including at least 3 years in a BPO environment
• Certifications: Minimum Lean Six Sigma Green Belt Certified from a recognized institution
• Data Analysis Skills: Proficiency in data analysis tools (e.g. Excel, Power Bi).
• Good understanding of AI and leveraging it for day-day operations.
