Description

You own the end-to-end delivery of AI and analytics engagements.

Responsibilities

• Own end-to-end delivery of AI and analytics engagements, including programme planning, milestone tracking, risk management, and executive reporting.
• Lead cross-functional teams of AI/ML engineers, data scientists, and BI analysts across onshore and offshore workstreams.
• Define and govern delivery frameworks for agentic AI systems, ensuring quality, accuracy, and production-readiness.
• Serve as the primary onshore client partner for Director and VP-level stakeholders, translating complex AI/ML outputs into clear business narratives.

Required Skills

• Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• 6+ years of experience in data and AI consulting or enterprise technology delivery.
• At least 3 years in a senior client-facing leadership role.
• Hands-on experience delivering NLP, LLM, or agentic AI solutions in production enterprise environments.
• Strong working knowledge of machine learning, including gradient boosting models (XGBoost/LightGBM) and model explainability techniques (SHAP, LIME).
• Familiarity with LLM ecosystem concepts: prompt engineering, retrieval-augmented generation (RAG), agent frameworks, and context window management.
• Proven ability to manage complex, multi-workstream programmes across diverse technical and business stakeholders.
• Executive-level communication skills, able to present confidently to VP and SVP audiences.

Key Skills

Education

Bachelor's degree