Job Title: Senior Manager AI & Analytics Delivery
Location: Philadelphia PA (Hybrid)
Job Type: Full Time
Role Overview
EXL 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 EXLs 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 EXLs AI/ML practice through reusable accelerators delivery playbooks and thought leadership
Qualifications:
Required
- Bachelors 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
Job Title: Senior Manager AI & Analytics Delivery Location: Philadelphia PA (Hybrid) Job Type: Full Time Role Overview EXL 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. ...
Job Title: Senior Manager AI & Analytics Delivery
Location: Philadelphia PA (Hybrid)
Job Type: Full Time
Role Overview
EXL 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 EXLs 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 EXLs AI/ML practice through reusable accelerators delivery playbooks and thought leadership
Qualifications:
Required
- Bachelors 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
View more
View less