Candidate Industry - BPO / KPO / GBS / GCC / GSS / Captive Shared Services

Job Description:

- An AI leader with experience of driving digital transformation by implementing agentic AI, automation pipelines, LAM and LLMs to transform operations and enhance customer experience.
- They require deep knowledge in generative AI, process re-engineering, and P&L; management.
- Experience: 20+ years of experience with exposure in BFSI domain, and playing various roles into IT, BPS, consulting, and digital transformation.
- Technical Acumen: Deep understanding of Large Action Models (LAMs), LLM, decision AI, machine learning, and AI application within enterprise software.
- Business Impact: Demonstrated success improving operating margins, scaling revenue, and managing global teams
- Domain Expertise: Deep understanding of BPS/BPO domains, intelligent process automation (IPA), and Cognitive Optical Character Recognition (OCR).Technical Acumen: Familiarity with ML, LLMs, and cloud infrastructure to make strategic "build vs. buy" decisions
- Leadership & Communication: Robust capability in translating complex technical metrics into financial outcomes for executive stakeholders and clients.
- Intelligent Automation Strategy: Define the enterprise roadmap for implementing AI, Machine Learning,



and GenAI to replace rule-based tasks with predictive, cognitive workflows.
- Use Case Prioritization: Identify high-ROI operational inefficiencies across verticals (e.g., healthcare, retail, travel) and manage the development of scalable AI solutions.
- AI Governance & Risk: Ensure deployed AI tools comply with ethical frameworks, data privacy regulations (e.g., GDPR), and industry security standards.Center of Excellence (CoE): Launch and oversee an AI CoE to foster innovation, establish best practices, and manage sandbox/pilot testing programs.
- Cross-Functional Collaboration: Partner with operations, IT, legal, and client-facing teams to seamlessly transition AI capabilities into everyday business operations.

Roles and Responsibility:

- AI Strategy & Governance: Formulating the roadmap for scaling AI platforms and agentic workflows safely and compliantly.
- Operational Optimization: Replacing manual data entry and reconciliation with autonomous AI agents that cut cycle times.Workforce Transformation: Upskilling associates, implementing copilot-guided SOPs, and transitioning BPS models from cost-cutting to strategic growth drivers.
- Should be flexible in working as per client requirement.

📌 AGM / AVP - AI Leader and scale AI led solutions (Mumbai)
🏢 Golden Opportunities
📍 Mumbai