About this opportunity
EXL lists this Technical Project Manager – Genai & Data Delivery opportunity in city of jersey city, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Title: Technical Project Manager – GenAI & Data Delivery - Property & Casualty (P&C) Insurance Domain
Work Mode: Jersey City, NJ
Duration: 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 & Execution
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.
GenAI & Use Case Delivery
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.
Requirement & Stream Management
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.
Stakeholder Engagement & Reporting
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).
RAID & Risk Management
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.
Governance & Compliance
Ensure adherence to responsible AI practices, data privacy regulations, and model governance standards.
Support implementation of AI lifecycle management (MLOps/LLMOps) frameworks.
Qualifications:
Experience
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.
Experience in industries such as insurance, financial services, or healthcare is a plus.
Skills
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.
Education
Bachelor’s degree in computer science, Engineering, or a related field. xzgxqkn
Certifications (Preferred)
PMP or equivalent project management certification.
Certifications in AI/ML, Cloud (AWS, Azure, GCP), or Data Engineering are a plus
Worksite address
city of jersey city, NJ, 07305, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.