We are actively hiring for
AI Project Manager Location - Berkeley Heights NJ
Full time
Min Exp required - 10 Years
Job Description
About the Role We are seeking a Project Manager with experience in AI initiatives to lead the planning execution and delivery of projects that leverage Artificial Intelligence Machine Learning and Generative AI technologies. The ideal candidate combines strong project management skills with an understanding of AI/ML concepts and agile delivery methodologies.
You will collaborate with cross-functional teams-data scientists AI engineers software developers and business stakeholders-to ensure that AI projects are delivered on time within scope and aligned with business objectives.
Key Responsibilities - Lead end-to-end project delivery for AI/ML initiatives including scoping planning resource allocation execution and stakeholder communication.
- Partner with AI Architects Data Scientists and Product Managers to translate business goals into AI-driven solutions.
- Define project milestones deliverables and success metrics for AI model development deployment and monitoring.
- Manage project risks dependencies and change control processes in dynamic AI environments.
- Track and report progress using Agile / Scrum / Kanban methodologies and project management tools (JIRA Asana ClickUp etc.).
- Facilitate communication between technical and non-technical stakeholders ensuring alignment across engineering data and business teams.
- Support project teams in navigating AI-specific challenges such as data readiness model explainability and ethical considerations.
- Prepare and deliver executive updates dashboards and documentation for project governance and audits.
- Contribute to establishing best practices and PM frameworks for AI projects including MLOps lifecycle management and performance tracking.
Required Qualifications - Bachelors degree in Computer Science Engineering Management or related field (Masters preferred).
- 8 years of project management experience with at least 2 years in AI/ML Data Analytics or Automation domains.
- Solid understanding of AI workflows (data preparation model training deployment monitoring).
- Experience in managing cross-functional teams across data science software engineering and product management.
- Excellent communication documentation and stakeholder management skills.
- Hands-on experience with Agile delivery frameworks and tools like JIRA Confluence and MS Project.
- Proven ability to manage multiple concurrent projects and priorities.