Deputy Manager - Transactional Quality Management

REF101258D_2026250755- Deputy Manager - Transactional Quality - Hyderabad (General Shift)

Company Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Job Description

Key Responsibilities

• SLA & Performance Oversight: Monitor and report on key quality metrics to ensure 100% compliance with client and internal SLAs.
•  Operational Compliance: Conduct regular audits and reviews to ensure that operations teams are strictly adhering to established Quality Management Systems (QMS) and protocols.
• Root Cause Analysis (RCA): Deep-dive into performance gaps and errors. You won't just report the 'what'—you will identify the 'why' through rigorous data analysis.
• Process Improvement: Transform insights into action. You will design and suggest workflow enhancements and process corrections to prevent error recurrence and boost efficiency.
• Stakeholder Collaboration: Partner with Operations Leaders to provide actionable feedback and lead quality-focused calibration sessions.

Job Location: Hyderabad (WFO Only)

Shift timing: General Shift (10am to 7pm)

Qualifications

• Experience: 5+ years in Quality Management, preferably within a fast-paced operations or BPO environment. With at least 1-2 years people management experience.
• Analytical Skills: Proficiency in data analysis tools and methodologies (e.g., Six Sigma, Lean, or Kaizen). Six sigma certification is a plus.
• Data Mining and Visualization : Experience is data visualization tools such as Power BI, Looker and Tableau. Database setup experience is a plus.
• Communication: Exceptional ability to translate complex data into clear, persuasive recommendations for leadership.

Experience Level

Mid Level