AI Transformation Leader

About our organization

We're a global leader in Business Process Management (BPM) and digital transformation, trusted by leading brands across various sectors.

Our AI Consulting practice drives measurable business outcomes through pragmatic, scalable AI adoption, rooted in operational reality and geared to deliver value at scale.

Role Overview:

We seek a consulting-grade leader with deep AI transformation expertise to translate AI opportunities into tangible financial impact, driving growth and enterprise value creation.

This role combines strategic leadership and hands-on delivery – advising senior executives, architecting AI roadmaps, and ensuring execution that delivers 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, 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 ecosystems.
• Solution Oversight & Execution:
  • Oversight design and delivery of AI solutions improving margins and cost efficiency.
  • Ensure AI is embedded into operating models, processes, and tech stacks.
  • 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 us in client forums, analyst briefings, and industry events as a trusted voice on AI's role in value creation.
  • Mentor consulting talent to think in terms of financial levers.

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.
  • 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, fine-tuning, prompt engineering).
  • 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, fine-tuning, prompt engineering).
  • 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.

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.