
AI Transformation Leader
15 hours ago
About Firstsource is not relevant for this position
We are looking for a consulting-grade leader with deep AI transformation expertise who can translate AI opportunities into tangible financial impact, growth, and value creation.
This role is for someone who thrives at the intersection of boardroom strategy and delivery trenches — advising senior business leaders, architecting AI roadmaps, and ensuring execution that drives hard financial outcomes.
Main Responsibilities
- Client Leadership & Growth
- Build trusted relationships with C-suite and senior business leaders.
- Shape multi-year AI transformation programs with clear financial impact.
- Drive account expansion and originate $5M–$20M+ AI-led transformation deals.
- Ai Strategy & Roadmap Design
- Lead AI maturity assessments, opportunity mapping, and prioritization workshops that explicitly link AI initiatives to financial levers.
- Define enterprise AI strategies across traditional AI/ML, Generative AI, and Intelligent Automation.
- Create build vs. buy AI roadmaps leveraging partner ecosystem.
- Solution Oversight & Execution
- Oversight and delivery of AI solutions that directly improve margins and optimize cost-to-serve.
- 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.
Required Experience & Skills
- 10–18 years in top-tier management consulting or equivalent transformation leadership.
- Proven track record of selling and delivering large-scale ($5M–$20M) AI/digital transformation engagements.
- Expertise in linking operational changes and AI initiatives to financial metrics.
- 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).
Benefits
- Ability to work with Traditional AI and Generative AI.
- Understanding of integration patterns for embedding AI into enterprise applications.
- Familiarity with security, governance, compliance, and model monitoring requirements for AI at scale.
Education
Bachelor's degree in Engineering, Business, Economics, or related field required.
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