Technical Project Manager – GenAI & Data Delivery

EXL is seeking a seasoned Technical Project Manager to lead multi-team initiatives focused on Generative AI and advanced data solutions in the Property & Casualty insurance domain. The role is responsible for planning and delivering AI- and data-driven projects, coordinating cross-functional teams, managing stakeholders and risks, and ensuring responsible AI governance and compliance.

Responsibilities:

• Develop and manage comprehensive project plans for GenAI and data-driven initiatives
• Coordinate cross-functional teams including data engineering, ML/AI engineers, data scientists, and business stakeholders
• Ensure timely delivery of project milestones, including model development, deployment, and integration
• Drive end-to-end delivery of Generative AI use cases (e.g., LLM-powered applications, document intelligence, chatbots, summarization tools)
• Collaborate with technical teams on model selection, fine-tuning, prompt engineering, and evaluation frameworks
• Ensure alignment between GenAI solutions and business value realization
• Gather, track, and manage requirements across multiple AI/data workstreams
• Translate business needs into actionable technical requirements for AI/ML teams
• Ensure traceability from requirements to deployment and business outcomes
• Report directly to leadership (e.g., Data/AI Lead or Program Head) with regular updates
• Act as the primary liaison between business teams, AI/ML teams, and external vendors/partners
• Communicate project status, risks, dependencies, and AI-specific considerations (e.g., model performance, data readiness)
• Maintain and manage RAID (Risks, Assumptions, Issues, Dependencies) logs
• Identify and mitigate risks related to AI model performance, data quality, compliance, and ethical AI usage
• Track budgets, forecast costs (including cloud/compute usage), and optimize resource allocation
• Ensure adherence to responsible AI practices, data privacy regulations, and model governance standards
• Support implementation of AI lifecycle management (MLOps/LLMOps) frameworks

Requirements:

• 7+ years of project management experience, with exposure to AI/ML or data-driven initiatives
• Proven experience managing GenAI, machine learning, or advanced analytics projects
• Strong understanding of Generative AI concepts (LLMs, prompt engineering, embeddings, RAG, fine-tuning)
• Hands-on or working knowledge of leading GenAI platforms and tools such as:
• Anthropic (Claude)
• OpenAI (GPT models)
• Google (Gemini / Vertex AI)
• Microsoft (Azure OpenAI Service, Copilot)
• Amazon Web Services (Bedrock)
• Familiarity with AI/ML development lifecycle, APIs, and cloud AI platforms
• Proficiency in project management methodologies (Agile, Waterfall, or hybrid)
• Hands-on experience with tools like Jira, MS Project, Rally, or similar
• Excellent communication, stakeholder management, and problem-solving skills
• Bachelor's degree in computer science, Engineering, or a related field
• Experience in industries such as insurance, financial services, or healthcare is a plus
• PMP or equivalent project management certification
• Certifications in AI/ML, Cloud (AWS, Azure, GCP), or Data Engineering are a plus