Data Science Director - AI Strategy

Job Description : - Owning enterprise AI strategy across Generative AI, Agentic AI, and ML platforms from long-term vision through production deployment and measurable value realisation. - Deep hands-on expertise in multi-agent orchestration, LLM/SLM infrastructure, RAG pipelines, Knowledge Graphs, NLP, multimodal AI, MLOps, and responsible AI governance. - Proven track record establishing reference architectures and reusable AI frameworks at org scale, with multi-million-dollar cost savings and measurable operational impact delivered at Apple, Morgan Stanley, and beyond. - Recognised technical force multiplier and C-suite advisor builds high performing AI engineering teams, drives AI readiness and data literacy org-wide, and represents the AI function at senior executive level. Core Competencies : - Multi-Agent AI Frameworks - Business-Facing AI Applications - LLM, SLM & GenAI Platforms - RAG, Knowledge Graphs & Retrieval - Computer Vision: OCR - Forecasting Platform - ML Platform & MLOps Architecture - AI-Ready Data Foundation Team Leadership : - Scaled and managed a multi-tiered AI engineering organisation. - Mentored senior engineers and AI scientists as a force multiplier. - Set technical standards for AI development and AI readiness assessments org-wide. - Owned platform KPIs adoption, latency, cost per inference, and business value. .