Senior Manager AI & Analytics Delivery
13 days ago
Philadelphia
Job Description Role Overview Client is seeking a Senior Manager AI & Analytics Delivery to lead complex, client-facing engagements at the intersection of agentic AI, machine learning, and enterprise data. This is a high-visibility onshore role responsible for driving end-to-end delivery of AI-powered solutions The Senior Manager will lead multi-workstream programmes spanning the full AI lifecycle from solution architecture and model development through to production deployment and stakeholder adoption. Engagements typically involve agentic AI systems, LLM-based automation, and ML-driven decision intelligence at enterprise scale. This role demands equal parts technical depth and executive presence. The successful candidate will serve as Client's primary onshore point of contact, owning both delivery outcomes and the client relationship. Key Responsibilities: Delivery & Programme Management 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 Manage scope, timelines, and budgets; proactively resolve blockers before they impact delivery Client & Stakeholder Management Serve as the primary onshore client partner for Director and VP-level stakeholders Translate complex AI/ML outputs model scores, agent decisions, explainability outputs into clear business narratives Build trusted advisor relationships that drive account growth and long-term partnership Technical Oversight Provide technical direction across LLM and agentic AI pipelines, including context engineering, tool orchestration, and output validation Oversee ML model development and evaluation including gradient boosting (XGBoost/LightGBM), SHAP-based explainability, and performance benchmarking Review solution architectures for scalability, latency, and integration with enterprise data platforms Ensure AI systems meet client standards for accuracy, fairness, interpretability, and maintainability People & Practice Development Mentor and develop delivery staff; build a high-performance, technically rigorous team culture Contribute to Client's AI/ML practice through reusable accelerators, delivery playbooks, and thought leadership Qualifications: Required Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field; advanced degree preferred 6+ years of experience in data and AI consulting or enterprise technology delivery, with 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 What We Offer: High-impact client engagements at the forefront of enterprise agentic AI adoption The opportunity to shape Client's AI delivery practice and contribute to a rapidly growing capability Competitive compensation and benefits commensurate with experience A collaborative, intellectually rigorous culture with strong career growth trajectory