AGM / AVP - AI Leader and scale AI led solutions

Golden Opportunities; Mumbai, Chennai District; Hybrid; INR 4,500,000 - 9,000,000; Full time

Job summary

Golden Opportunities is seeking an AI leader to drive digital transformation by implementing agentic AI, automation pipelines, LLMs, and IPA to enhance operations and customer experience.

You will bring 20+ years’ BFSI experience, deep knowledge of generative AI, process re-engineering, and a track record of scaling AI programs across global teams.

Strong governance, ethics, and collaboration with operations, IT, and legal teams to translate AI value into financial outcomes.

Qualifications

• 20+ years of BFSI experience with exposure to IT, BPS, consulting and digital transformation.
• Deep knowledge of generative AI, LLMs and decision AI in enterprise contexts.
• Proven ability to translate AI metrics into financial outcomes for executives.

Responsibilities

• AI Strategy & Governance: formulate roadmaps for scalable AI platforms and compliant workflows.
• Operational Optimization: replace manual tasks with autonomous AI agents to cut cycle times.
• Workforce transformation: upskill teams and implement copilot-guided SOPs across BPS models.

Skills

Generative AI

P&L management

Process re-engineering

AI governance

Cross-functional leadership

Enterprise AI strategy

BFSI domain expertise

Job description

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: Strong 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.