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. .