Chief Technology Officer (CTO) – AI & Data Platforms

Sia; Mumbai; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

Sia Partners in Mumbai seeks a Chief Technology Officer to lead technology strategy, AI and data platform initiatives, and group-wide digital transformation. Based in Mumbai, the role blends technology leadership with platform engineering and AI enablement.

The CTO will drive scalable AI/ML platforms, ensure data governance, and partner with leadership to deliver client-focused digital solutions. Hybrid setup with global delivery exposure is offered.

Qualifications

• Proven experience leading AI/data-driven environments at CTO/head of engineering level.
• Strong track record building and scaling AI/ML platforms and data ecosystems.
• Deep understanding of cloud-native architectures, data platforms, and MLOps/LLMOps.

Responsibilities

• Define and execute the group’s technology strategy with emphasis on AI, data and analytics platforms.
• Lead platform ownership for internal and client-facing AI/ML platforms.
• Oversee data pipelines, model deployment, and system integration; drive governance and security.

Skills

AI/ML platforms

Data ecosystems

Cloud-native architectures

MLOps/LLMOps

Leadership

Cross-functional leadership

Job description

• Full-time

Company Description

Sia is a next-generation, global management consulting group. Founded in 1999, we were borndigital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility.We'reoptimists forchangeand we help clientsinitiate, navigate, andbenefitfrom transformation. We believe optimism is a force multiplier, helping clients mitigatedownsideand maximizeopportunity. Withexpertiseacross a broad range of sectors and services, our consultants serve clients worldwide. Ourexpertisedelivers 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 onAI and Data Science platforms. Based in Mumbai, this role carriesgroup-wide responsibilityfor both internal and external platforms, supporting our AI-driven offerings and digital transformation initiatives.

TheCTOwill play a critical role inindustrializing 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 combiningtechnology leadership, platform engineering, and AI enablement.

Key Responsibilities

• Define and execute the group’s technology strategy with a strong emphasis onAI, data, and analytics platforms
• Partner with AI & Data Science leadership toindustrialize models into scalable products and platforms
• Drive innovation in areas such asGenAI, 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 seamlessdata pipelines, model deployment, and system integration
• Build reusable, modular, and scalable platform components
• Lead the development ofend-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 onquality, speed, and innovation
• Oversee delivery of complex, multi-platform initiatives

Data, Security & Infrastructure

• Define and implementdata architecture and governance frameworks
• Ensure compliance withdata privacy regulations and AI governance standards
• Oversee cloud infrastructure (AWS/Azure/GCP), ensuring scalability and cost efficiency
• Implement robustcybersecurity 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 aCTO, Head of Engineering, or senior technology leader inAI/data-driven environments
• Strong experience building and scalingAI/ML platforms and data ecosystems
• Deep understanding of:
  • Cloud-native architectures
  • Data platforms (lakehouse, streaming, etc.)
  • MLOps / LLMOps frameworks
• Experience deliveringboth 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 toGenAI and large language model ecosystems
• Experience scaling technology teams in India or global delivery models
• Strategic vision in AI and technology
• Strong execution and platform mindset
• Ability to bridgedata science and engineering worlds
• Innovation with pragmatic delivery

Why Join Us

• Opportunity to shape and scaleAI-driven platforms at a group level
• High-impact role at the intersection oftechnology, 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.