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AI Transformation Expert

2 weeks ago


Mount Abu, Rajasthan, India beBeeTransformation Full time ₹ 3,00,00,000 - ₹ 5,00,00,000

About us

We are a global leader in business process management and digital transformation, trusted by leading brands across various sectors.

Our AI consulting practice is at the forefront of our strategy to deliver measurable business outcomes through pragmatic and scalable AI adoption. Our AI approach is rooted in operational reality and geared to deliver value at scale.

Role Overview

We are seeking an experienced leader with deep AI transformation expertise who can translate AI opportunities into tangible financial impact.

This role is for someone who thrives at the intersection of strategy and delivery – advising senior leaders, architecting AI roadmaps, and ensuring execution that drives hard financial outcomes.

Key Responsibilities

Client Leadership & Growth

- Build trusted relationships with senior leaders and drive account expansion.

- Shape multi-year AI transformation programs with clear financial impact.

AI Strategy & Roadmap Design

- Lead AI maturity assessments and opportunity mapping workshops that link AI initiatives to financial levers.

- Define enterprise AI strategies across traditional AI/ML and Generative AI.

Solution Oversight & Execution

- Oversee design and delivery of AI solutions that improve margins and unlock growth.

- Ensure AI is embedded into operating models and processes to sustain financial impact.

Practice Development & Thought Leadership

- Develop and refine AI consulting IP – frameworks, financial impact models, and accelerators.

- Represent us in client forums and industry events as a trusted voice on AI's role in value creation.

Required Experience & Skills

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 financial impact.

AI Implementation Depth

- Strong working knowledge of AI/ML lifecycle: data strategy, model development, deployment, MLOps.

Technology Depth

- Strong understanding of the AI technology stack including data ingestion and processing layers, feature stores, model development environments, APIs, and cloud-native AI services.

Market Ecosystem Knowledge

- Deep understanding of the AI solutions landscape – from enterprise-scale offerings to specialized AI-first products.

Core Skills

- Exceptional problem-solving and executive storytelling.

- Commercial acumen with P&L understanding.

- High tolerance for ambiguity and a bias for action.

Education

- Bachelor's degree in Engineering, Business, Economics, or related field required.

- Master's degree (MBA or MS in AI/Data Science) strongly preferred.