AI Project Manager: Lead ML & Data Initiatives

Cognizant; Philadelphia (Philadelphia County); Presencial; USD 70.000 - 117.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical/Dental/Vision/Life Insurance

Paid holidays/PTO

401(k) plan

Employee Stock Purchase Plan

Descripción de la vacante

Cognizant is seeking an AI Project Manager to lead AI/ML and data initiatives end to end, from planning through deployment. You will collaborate with data scientists, ML engineers, developers, and stakeholders to deliver scalable, responsible AI aligned with business goals.

The role involves defining scope, leading Agile practices, and ensuring governance and regulatory compliance while maintaining audit-ready documentation. On-site in Philadelphia with flexible work options where possible.

Formación

• 5+ years of PM experience, incl. 2+ years leading Agile/Scrum.
• Experience managing AI, ML, or data analytics initiatives.
• Strong lifecycle knowledge from data readiness to deployment.
• Excellent communication and stakeholder management.
• Proficiency with Jira, MS Project, Azure DevOps, or Confluence.

Responsabilidades

• Define project scope, milestones, resources, and delivery plans for AI, ML, and data initiatives.
• Lead Agile delivery activities, including sprint planning, standups, reviews, and retrospectives.
• Translate business requirements into user stories, acceptance criteria, and metrics.
• Identify and manage risks: data quality, bias, security, privacy, compliance.
• Communicate project status, priorities, risks, and outcomes through reports and dashboards.
• Coordinate team capacity and vendor contributions for scalable AI solutions.

Conocimientos

Project management

Agile/Scrum

Stakeholder management

Communication

Cross-functional teams

Educación

Bachelor's degree in CS/IT/Eng

Herramientas

Jira

Microsoft Project

Azure DevOps

Confluence

Descripción del empleo

Cognizant is seeking an AI Project Manager to lead AI/ML and data initiatives end to end, from planning through deployment. You will collaborate with data scientists, ML engineers, developers, and stakeholders to deliver scalable, responsible AI aligned with business goals.

The role involves defining scope, leading Agile practices, and ensuring governance and regulatory compliance while maintaining audit-ready documentation. On-site in Philadelphia with flexible work options where possible.