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Technical Project Manager – GenAI & Data Delivery

exl Service.com (India) Private Limited
Jersey City, USA
Full-time
Manager · 7+ years experience
Hybrid
Discovered 3 weeks ago
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Full Job Posting

Qualifications

  • Education
  • Bachelor’s degree in Computer Science, Engineering, or a related field.

Responsibilities

  • 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.
  • 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.
  • 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)
  • 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.
  • PMP or equivalent project management certification.
  • Certifications in AI/ML, Cloud (AWS, Azure, GCP), or Data Engineering are a plus

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.
  • Certifications (Preferred)
  • PMP or equivalent project management certification.
  • Certifications in AI/ML, Cloud (AWS, Azure, GCP), or Data Engineering are a plus

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