AI Transformation Expert

1 day ago

Anand, Gujarat, India beBeeTransformation Full time US$ 15,00,000 - US$ 20,00,000
AI Transformation Leader

This role is for someone who thrives at the intersection of boardroom strategy and delivery trenches — advising senior leaders, architecting AI roadmaps, and ensuring execution that drives financial outcomes. You will connect traditional AI, GenAI, and intelligent automation to real cost takeout, margin improvement, revenue growth, and competitive advantage.

Key Responsibilities:

  • Build trusted relationships with C-suite and senior business leaders.
  • Shape multi-year AI transformation programs with clear EBITDA impact, including value articulation, business case development, and ROI modeling.
  • Drive account expansion and originate large-scale AI-led transformation deals.

AI Strategy & Roadmap Design:

  • Lead AI maturity assessments, opportunity mapping, and prioritization workshops that explicitly link AI initiatives to P&L levers.
  • Define enterprise AI strategies across Traditional AI/ML, Generative AI, and Intelligent Automation.
  • Create build vs. buy AI roadmaps leveraging a partner ecosystem (hyperscalers, AI platforms, niche ISVs).

Solution Oversight & Execution:

  • Oversee design and delivery of AI solutions that directly improve margins, optimize cost-to-serve, and unlock growth.
  • 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.

Practice Development & Thought Leadership:

  • Develop and refine AI consulting IP — frameworks, financial impact models, and accelerators.
  • Represent as a trusted voice on AI's role in value creation.
  • Mentor consulting talent to think in terms of financial levers, not just technology adoption.

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 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 and Generative AI.
  • Experience embedding AI into enterprise operations at scale to drive cost takeout and growth.

Technology Depth:

  • Strong understanding of the AI technology stack.
  • Proven ability to work with traditional AI and Generative AI.
  • Understanding of integration patterns for embedding AI into enterprise applications, workflows, and operating models.

Market Ecosystem Knowledge:

  • Deep understanding of the AI solutions landscape.
  • 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.

Sector Expertise (Preferred):

  • Healthcare, BFSI, CMT, or Customer Operations — with proven ability to identify EBITDA-linked AI use cases.

Core Skills:

  • Exceptional structured problem-solving and executive storytelling.
  • Commercial acumen with P&L and cash flow 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.
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