Job Summary
The role is responsible for developing and maintaining strong relationships with the Regional Leaders (Client and HCL stakeholders) within their area of responsibility through a structure of Operations Manager/s, Team Leaders and Hi Performance teams.
Key components of success will include:
- Delivering operational excellence – SLA’s
- Escalation Management (Internal and External) and Customer Satisfaction
- Achievement of operational targets – KPI’s
- Leadership and employee retention – Employee Satisfaction & Motivation
- Strong relationships (internally & externally) with senior leaders- 360degree feedback
Key Responsibilities
Key Responsibilities
- Delivery & Operational Excellence
- Lead day-to-day operations to consistently achieve SLA, KPI, productivity, quality, customer experience, and business objectives.
- Own performance management across Customer Care teams.
- Identify emerging operational risks and implement mitigation plans.
- Drive Root Cause Analysis (RCA) and sustainable corrective actions for performance gaps.
- Ensure operational compliance with client, HCLTech, and regulatory requirements.
- Manage workforce utilization, staffing, schedule adherence, and productivity targets.
- Client Relationship Management
- Act as the primary client contact for operational matters.
- Participate in weekly and monthly governance meetings.
- Provide performance insights, operational updates, and action plans to client stakeholders.
- Manage escalations and ensure timely resolution of client concerns.
- Build trust and credibility through proactive communication and service excellence.
- People Leadership
- Lead Team Leaders, Assistant Managers, and support functions.
- Drive employee engagement, retention, and onsite culture initiatives.
- Conduct talent reviews, succession planning, and leadership development discussions.
- Ensure effective coaching and development plans for future leaders.
- Maintain high levels of employee satisfaction and organizational engagement.
- Continuous Improvement & Transformation
- Identify process improvement opportunities across operations.
- Drive Lean, Six Sigma, automation, and workflow optimization initiatives.
- Partner with support functions to improve efficiency and customer outcomes.
- Lead implementation of approved transformation initiatives.
- Measure and report realized business benefits from improvement programs.
- AI & Digital Enablement
- Champion adoption of Copilot, AI-assisted tools, and automation solutions.
- Identify operational use cases for AI and intelligent automation.
- Promote AI-enabled decision-making and productivity improvement.
- Support pilot programs and deployment of emerging technologies.
Ensure teams effectively leverage digital tools to improve performance and customer experience
Skill Requirements
Background, skills, experience and qualifications
• 8-12 years of BPO / Digital Process Operations experience.
• Minimum 3-5 years managing large customer care, shared services, or customer operations teams.
• Demonstrated ownership of SLA, KPI, Quality, Productivity, Cost, CSAT, and People Metrics.
• Experience supporting global clients, especially North American operations.
• Experience leading onsite and hybrid workforce models.
• Exposure to continuous improvement, automation, and process optimization initiatives.
• Experience in presenting operational performance directly to client leadership.
Other Requirements
Other Requirements
Role specific competencies and requirements
Skillset Needs
• Client Management
o Executive-level communication.
o Client relationship management.
o Governance preparation and facilitation.
o Escalation management.
o Business storytelling using operational data.
• Operations Excellence
o SLA and KPI management.
o Root Cause Analysis (RCA).
o Forecasting and workforce planning.
o Risk management.
o Change management.
o Financial and productivity management.
• Leadership
o Coaching and leadership development.
o Succession planning.
o Employee engagement.
o Performance management.
o Stakeholder influence.
• Technology & AI
o Working knowledge of:
o Generative AI
o Copilot platforms
o AI-enabled knowledge management
o Intelligent workflow automation
o Process mining
o Analytics platforms such as Power BI
o Ability to identify automation opportunities and create business cases for transformation.