AI Transformation Leader

4 days ago

Salem, Tamil Nadu, India beBeeTransformation Full time US$ 8,00,000 - US$ 10,00,000
Key Roles and Responsibilities

We are seeking an experienced leader to spearhead our AI transformation efforts. The ideal candidate will possess a strong track record of delivering large-scale AI projects with tangible financial impact.

  • Lead the development and implementation of AI strategies across various sectors, including Healthcare, BFSI, CMT, and Customer Operations.
  • Collaborate with cross-functional teams to identify and prioritize AI opportunities that drive EBITDA growth and revenue expansion.
  • Design and deliver AI solutions that improve margins, optimize cost-to-serve, and unlock growth.
  • Develop and refine AI consulting IP, frameworks, and financial impact models to support business outcomes.
Requirements and Qualifications

To succeed in this role, you will need:

  • 10–18 years of experience in top-tier management consulting or equivalent transformation leadership.
  • A proven track record of selling and delivering large-scale ($5M–$20M) AI/digital transformation engagements with measurable EBITDA impact.
  • Expertise in linking operational changes and AI initiatives to financial metrics valued by boards and investors.
  • 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, fine-tuning, prompt engineering).
  • Experience embedding AI into enterprise operations at scale to drive cost takeout and growth.
  • 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, fine-tuning, prompt engineering).
  • Understanding of integration patterns for embedding AI into enterprise applications, workflows, and operating models.
  • Familiarity with security, governance, compliance, and model monitoring requirements for AI at scale.
  • Deep understanding of the AI solutions landscape — from enterprise-scale offerings by GSIs and 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.
  • Up-to-date awareness of emerging trends and innovations across Agentic AI, Generative AI, and vertical-specific AI applications.
Education and Certifications

A Bachelor's degree in Engineering, Business, Economics, or related field is required. A Master's degree (MBA or MS in AI/Data Science) is strongly preferred.

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