Chief Technology Officer

Chief Technology Officer (CTO) – AI & Data Platforms

Location: Mumbai, India

Reporting to: Chief AI Officer

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

Qualifications & Experience
• Total 12+ yrs of experience with proven experience as a CTO, Head of Engineering, or senior technology leader for a min of 3-5 yrs in AI/data-driven environments
• Strong experience building and scaling AI/ML platforms and data ecosystems
• Deep understanding of:
• Cloud-native architectures
• Data platforms (lakehouse, streaming, etc.)
• MLOps / LLMOps frameworks
• Experience delivering both internal platforms and client-facing digital/AI products
• Strong leadership experience managing cross-functional technical teams

Preferred Experience
• Experience in consulting, digital services, or AI-driven organizations
• Exposure to GenAI and large language model ecosystems
• Experience scaling technology teams in India or global delivery models

Key Competencies
• Strategic vision in AI and technology
• Strong execution and platform mindset
• Ability to bridge data science and engineering worlds
• Stakeholder influence at executive level
• Innovation with pragmatic delivery

Why Join Us
• Opportunity to shape and scale AI-driven platforms at a group level
• High-impact role at the intersection of technology, data, and business
• Exposure to cutting-edge AI use cases and global clients