
AI Transformation Leader
20 hours ago
About Us
We are a global leader in Business Process Management (BPM) and digital transformation, trusted by leading brands across various sectors.
Our AI Consulting practice is at the forefront of our strategy — delivering measurable business outcomes through pragmatic, scalable AI adoption.
Job Overview
We seek an experienced leader with deep AI transformation expertise who can translate AI opportunities into tangible financial impact.
This role requires someone who thrives at the intersection of boardroom strategy and delivery trenches — advising senior leaders, architecting AI roadmaps, and ensuring execution that drives hard financial outcomes.
Key Responsibilities
- Build strong relationships with senior business leaders to 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 that link AI initiatives to financial metrics.
- Define enterprise AI strategies across Traditional AI/ML and Generative AI.
Solution Oversight & Execution
- Oversee design and delivery of AI solutions that directly improve financial performance.
- Ensure AI is embedded into operating models, processes, and tech stacks to sustain financial impact.
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.
Required Skills & Qualifications
- 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.
Core Skills
- Exceptional structured problem-solving and executive storytelling.
- Commercial acumen with P&L 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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