Chief Technology Officer (CTO) – AI & Data Platforms

Company Description

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.

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

Qualifications

Qualifications & Experience

Proven experience as a CTO, Head of Engineering, or senior technology leader 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

Additional Information