Chief Technology Officer (CTO) – AI & Data Platforms

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