
Senior Transformation Executive
1 day ago
We are seeking a seasoned executive with expertise in AI transformation to join our team. As an Associate Principal - Consulting, you will play a key role in driving business outcomes through pragmatic and scalable AI adoption.
This is an exceptional opportunity for a visionary leader who thrives at the intersection of boardroom strategy and delivery trenches. 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 (CEO, CFO, COO, CDO).
- Shape multi-year AI transformation programs with clear EBITDA impact, including value articulation, business case development, and ROI modeling.
- Drive account expansion and originate $5M–$20M+ AI-led transformation deals.
- Lead AI maturity assessments, opportunity mapping, and prioritization workshops that explicitly link AI initiatives to P&L levers (revenue uplift, cost efficiency, asset utilization).
- Define enterprise AI strategies across Traditional AI/ML, Generative AI, and Intelligent Automation.
- Create build vs. buy AI roadmaps leveraging our partner ecosystem (hyperscalers, AI platforms, niche ISVs).
- Oversight 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.
- 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, not just technology adoption.
Requirements:
- 10–18 years in top-tier management consulting (MBB, Big 4, or strategy boutique) or equivalent transformation leadership.
- Proven track record of selling and delivering large-scale ($5M–$20M) AI/digital transformation engagements with measurable EBITDA impact.
- Expertise in linking operational changes and AI initiatives to financial metrics valued by boards and investors.
- 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.
- 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.
- Familiarity with security, governance, compliance, and model monitoring requirements for AI at scale.
- Deep understanding of the AI solutions landscape — from enterprise-scale offerings by GSIs and hyperscalers to specialized AI-first products from startups and niche vendors.
Preferred Qualifications:
- Sector expertise in Healthcare, BFSI, CMT, or Customer Operations — with proven ability to identify EBITDA-linked AI use cases.
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