AI Transformation Leader

1 day ago

Jamnagar, Gujarat, India beBeeTransformation Full time ₹ 10,00,000 - ₹ 50,00,000

About Us

We are a leading provider of Business Process Management (BPM) and digital transformation solutions.

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

Job 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 boardroom strategy and delivery trenches — advising senior business leaders and ensuring execution that drives hard financial outcomes.

Key Responsibilities

- Client Leadership & Growth

  • Build trusted relationships with senior business leaders.
  • Shape multi-year AI transformation programs with clear financial impact.
  • Drive account expansion and originate large-scale AI-led transformation deals.

- Ai Strategy & Roadmap Design

  • Lead AI maturity assessments and opportunity mapping workshops.
  • Define enterprise AI strategies across Traditional AI/ML and Generative AI.
  • Create build vs. buy AI roadmaps leveraging partner ecosystem.

- Solution Oversight & Execution

  • Oversee design and delivery of AI solutions that directly improve margins.
  • Ensure AI is embedded into operating models, processes, and tech stacks to sustain financial impact.
  • 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 financial 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 and Generative AI.
  • Experience embedding AI into enterprise operations at scale to drive cost takeout and growth.

Benefits

We offer a dynamic work environment and competitive compensation package.

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