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

Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.