Description

You own the end-to-end delivery of AI and analytics engagements, from programme planning to executive reporting.

This role is hybrid.

Responsibilities

• 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.
• Manage programme planning, milestone tracking, risk management, and executive reporting for complex engagements.
• Translate complex AI/ML outputs into clear business narratives for Director and VP-level stakeholders.

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.

Preferred Skills

• Experience leading large-scale AI transformations in enterprise settings.

Key Skills

Education

Bachelor's degree