Job description

Role Overview

We are seeking a Chief Technology Officer (CTO) to lead our technology strategy and execution with a strong focus on AI and Data Science platforms. Based in Mumbai, this role carries group-wide responsibility for both internal and external platforms, supporting our AI-driven offerings and digital transformation initiatives.

The CTO will play a critical role in industrializing AI and data capabilities, ensuring scalable, secure, and high-performing platforms that power both internal operations and client-facing solutions.

This is a hybrid role combining technology leadership, platform engineering, and AI enablement.

Key Responsibilities

Technology & AI Strategy

• Define and execute the group’s technology strategy with a strong emphasis on AI, data, and analytics platforms
• Partner with AI & Data Science leadership to industrialize models into scalable products and platforms
• Drive innovation in areas such as GenAI, advanced analytics, and data-driven products

Platform Ownership (Internal & Client-Facing)

• Own the architecture and scalability of:
  • Internal platforms (data platforms, knowledge systems, AI tooling, internal apps)
  • External/client-facing platforms (AI-powered solutions, digital products, client delivery platforms)
• Ensure seamless data pipelines, model deployment, and system integration
• Build reusable, modular, and scalable platform components

AI & Data Platform Engineering

• Lead the development of end-to-end AI/ML platforms (data ingestion, training, deployment, monitoring)
• Establish best practices for:
  • MLOps / LLMOps
  • Data engineering and governance
  • Model lifecycle management
• Ensure reliability, reproducibility, and scalability of AI solutions

Engineering Leadership & Delivery

• Build and lead multidisciplinary teams across:
  • Software engineering
  • Data engineering
  • ML engineering
  • Platform & DevOps
• Drive a strong engineering culture focused on quality, speed, and innovation
• Oversee delivery of complex, multi-platform initiatives

Data, Security & Infrastructure

• Define and implement data architecture and governance frameworks
• Ensure compliance with data privacy regulations and AI governance standards
• Oversee cloud infrastructure (AWS/Azure/GCP), ensuring scalability and cost efficiency
• Implement robust cybersecurity and model risk management practices

Stakeholder & Client Engagement

• Act as a senior technology partner to business and AI leaders
• Support client engagements where deep technology expertise is required
• Translate business and AI use cases into scalable platform solutions

Governance & Operations

• Establish governance frameworks for platform and AI investments
• Manage technology budgets, vendors, and partnerships (including AI/tech ecosystems)
• Track KPIs across platform performance, AI adoption, and delivery excellence