Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Newark, NJ, United States
Posted
2 days ago
AWSMLOpsMachine LearningAgileAzureGPTGenerative AIGoogle CloudJiraLLMStakeholder Management
Job Description
Work Mode: Hybrid (Client Office) Charlotte
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.
Certifications (Preferred)
- PMP or equivalent project management certification.
- Certifications in AI/ML, Cloud (AWS, Azure, Google Cloud Platform), or Data Engineering are a plus
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