
Senior AI Strategist
1 week ago
Lead AI Transformation
Our organization seeks a seasoned professional to spearhead AI-driven business transformation initiatives. This strategic leader will design and implement cutting-edge solutions that drive financial growth and operational efficiency.
- Key Responsibilities:
- · Develop and execute comprehensive AI strategies across Traditional AI/ML, Generative AI, and Intelligent Automation.
- · Foster trusted relationships with senior business leaders and drive account expansion through innovative AI adoption.
- · Originate high-value AI-led transformation deals, leveraging expertise in linking operational changes and AI initiatives to financial metrics valued by boards and investors.
Requirements:
- Experience:
- · 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.
AI Implementation Depth:
- · Strong working knowledge of AI/ML lifecycle: data strategy, model development, deployment, MLOps.
- · Understanding of traditional AI/ML and Generative AI, including LLMs, agentic AI, RAG architectures, fine-tuning, and prompt engineering.
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.
- · Familiarity with security, governance, compliance, and model monitoring requirements for AI at scale.
Market Ecosystem Knowledge:
- · Deep understanding of the AI solutions landscape, including key differentiators, commercial models, and partnership strategies.
- · Ability to evaluate and select the right partner and platform ecosystem based on scalability, speed to value, interoperability, and strategic fit.
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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