Technical Project Manager – GenAI & Data Delivery
EXL · Jersey City, New Jersey, United States
FULL TIME
Job Description
Job Title: Technical Project Manager – GenAI & Data Delivery - Property & Casualty (P&C) Insurance DomainWork Mode: Jersey City, NJDuration: 6+ Months Contract
The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.
Job Description:We are seeking a seasoned Technical Project Manager to lead multi-team initiatives focused on Generative AI (GenAI) and advanced data solutions. The ideal candidate will have strong experience managing complex, AI-powered and data-driven projects, and will be responsible for driving delivery across multiple workstreams, ensuring alignment with business objectives, and managing stakeholder expectations.
Key Responsibilities:Project Planning & ExecutionDevelop 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.GenAI & Use Case DeliveryDrive 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.Requirement & Stream ManagementGather, 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.Stakeholder Engagement & ReportingReport 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).RAID & Risk ManagementMaintain 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.Governance & ComplianceEnsure adherence to responsible AI practices, data privacy regulations, and model governance standards.Support implementation of AI lifecycle management (MLOps/LLMOps) frameworks.
Qualifications:Experience7+ years of project management experience, with exposure to AI/ML or data-driven initiatives.Proven experience managing GenAI, machine learning, or advanced analytics projects.Experience in industries such as insurance, financial services, or healthcare is a plus.
SkillsStrong 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.
EducationBachelor’s degree in computer science, Engineering, or a related field. xzbcwsv
Certifications (Preferred)PMP or equivalent project management certification.Certifications in AI/ML, Cloud (AWS, Azure, GCP), or Data Engineering are a plus
The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.
Job Description:We are seeking a seasoned Technical Project Manager to lead multi-team initiatives focused on Generative AI (GenAI) and advanced data solutions. The ideal candidate will have strong experience managing complex, AI-powered and data-driven projects, and will be responsible for driving delivery across multiple workstreams, ensuring alignment with business objectives, and managing stakeholder expectations.
Key Responsibilities:Project Planning & ExecutionDevelop 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.GenAI & Use Case DeliveryDrive 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.Requirement & Stream ManagementGather, 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.Stakeholder Engagement & ReportingReport 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).RAID & Risk ManagementMaintain 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.Governance & ComplianceEnsure adherence to responsible AI practices, data privacy regulations, and model governance standards.Support implementation of AI lifecycle management (MLOps/LLMOps) frameworks.
Qualifications:Experience7+ years of project management experience, with exposure to AI/ML or data-driven initiatives.Proven experience managing GenAI, machine learning, or advanced analytics projects.Experience in industries such as insurance, financial services, or healthcare is a plus.
SkillsStrong 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.
EducationBachelor’s degree in computer science, Engineering, or a related field. xzbcwsv
Certifications (Preferred)PMP or equivalent project management certification.Certifications in AI/ML, Cloud (AWS, Azure, GCP), or Data Engineering are a plus
Details
| Company | EXL |
| Location | Jersey City, New Jersey, United States |
| Type | FULL TIME |
| Niche | general |