Chief AI Transformation Officer

1 day ago

Vadodara, Gujarat, India beBeeTransformation Full time ₹ 2,20,00,000 - ₹ 2,80,00,000
About Us

We are a global leader in Business Process Management (BPM) and digital transformation. Our AI Consulting practice is at the forefront of our strategy — delivering measurable business outcomes through pragmatic, scalable AI adoption.

Job Overview

We are seeking an experienced consulting-grade leader with deep AI transformation expertise to join our team. The ideal candidate will have a proven track record of selling and delivering large-scale AI/digital transformation engagements with measurable impact.

This role involves advising C-suite executives, architecting AI roadmaps, and ensuring execution that drives hard financial outcomes. You will connect traditional AI, GenAI, and intelligent automation to real cost takeout, margin improvement, revenue growth, and competitive advantage.

Key Responsibilities
  1. Client Leadership & Growth
  • Bbuild trusted relationships with senior business leaders.
  • Shape multi-year AI transformation programs with clear EBITDA impact.
  • Drive account expansion and originate deals.
Ai Strategy & Roadmap Design
  • Lead AI maturity assessments, opportunity mapping, and prioritization workshops.
  • Define enterprise AI strategies across Traditional AI/ML, Generative AI, and Intelligent Automation.
  • Create build vs. buy AI roadmaps leveraging partner ecosystem.
Solution Oversight & Execution
  • Oversee design and delivery of AI solutions that directly improve margins and unlock growth.
  • Ensure AI is embedded into operating models, processes, and tech stacks.
  • Govern delivery to ensure programs move from PoC to scaled financial results.
Required Skills & Qualifications
  • Consulting DNA
    • 10-18 years in top-tier management consulting or equivalent transformation leadership.
    • Proven track record of selling and delivering large-scale AI/digital transformation engagements with measurable EBITDA impact.
    • Expertise in linking operational changes and AI initiatives to financial metrics valued by boards and investors.
  • AI Implementation Depth
    • Strong working knowledge of AI/ML lifecycle: data strategy, model development, deployment, MLOps.
    • Understanding of traditional AI/ML (predictive analytics, optimization, NLP, computer vision) and Generative AI (LLMs, agentic AI, RAG architectures).
    • Experience embedding AI into enterprise operations at scale to drive cost takeout and growth.
  • Technology Depth
    • Strong understanding of the AI technology stack including data ingestion and processing layers, data platforms, feature stores, model development environments, MLOps pipelines, APIs, and cloud-native AI services.
    • Proven ability to work with Traditional AI (predictive analytics, optimization, NLP, computer vision) and Generative AI (LLMs, agentic AI, RAG architectures).
    • Familiarity with security, governance, compliance, and model monitoring requirements for AI at scale.
  • Market Ecosystem Knowledge
    • Deep understanding of the AI solutions landscape — from enterprise-scale offerings by hyperscalers to specialized AI-first products from startups and niche vendors.
    • Awareness of key differentiators, commercial models, and partnership strategies across the AI market.
    • Ability to evaluate and select the right partner and platform ecosystem based on scalability, speed to value, interoperability, and strategic fit.

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