ironquill.tech/board

$ cat jobs/chief-technology-officer-cto-ai-data-platforms-sia-a5ae589e6642.json

Chief Technology Officer (CTO) – AI & Data Platforms

Sia·Worldwide·Mumbai, IN·mid
data science
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Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility. We’re optimists for change and we help clients initiate, navigate, and benefit from transformation. We believe optimism is a force multiplier, helping clients mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our consultants serve clients worldwide. Our expertise delivers results. Our optimism transforms outcomes. 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

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