AI Project Manager

Cognizant; Philadelphia (Philadelphia County); On-site; USD 70,000 - 117,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an AI Project Manager to lead end-to-end delivery of AI, ML, and data initiatives from planning through deployment in a largely onsite role in Philadelphia. You will collaborate with data scientists, ML engineers, developers, business stakeholders, vendors, and IT teams to ensure responsible, scalable AI solutions aligned with business objectives.

You will define scope, milestones, and delivery plans, lead Agile ceremonies, translate requirements into user stories, manage

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Five or more years of project management experience, including at least two years leading Agile or Scrum projects.
• Experience managing AI, machine learning, data analytics, or other data-driven initiatives.
• Strong understanding of the AI and machine learning project lifecycle, including data readiness, model development, deployment, and operational support.
• Strong communication, stakeholder management, risk management, and cross-functional team coordination skills.
• Proficiency with project delivery and collaboration tools such as Jira, Microsoft Project, Azure DevOps, or Confluence.

Responsibilities

• Define project scope, objectives, milestones, resource requirements, and delivery plans for AI, ML, data initiatives, including data readiness, model development, deployment.
• Lead Agile delivery activities, including sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives, while tracking progress through Jira, Microsoft Project, and Azure DevOps.
• Translate business requirements into user stories, acceptance criteria, and measurable success metrics, including model performance, user adoption, and return on investment.
• Identify and manage risks involving data quality, model bias, security, privacy, regulatory compliance, and responsible AI governance while maintaining audit-ready documentation.
• Communicate project status, priorities, risks, and outcomes through reports, dashboards, demonstrations, and stakeholder meetings.
• Coordinate team capacity, vendor contributions, and operational readiness to ensure AI solutions are maintainable, scalable, and aligned with enterprise standards.

Skills

Project management

Agile / Scrum experience

AI/ML data initiatives

Stakeholder management

Jira

Microsoft Project

Azure DevOps

Confluence

Education

Bachelor’s degree in Computer Science / Information Technology / Engineering

Master’s degree in Computer Science / Information Technology / Engineering

Tools

Jira

Microsoft Project

Azure DevOps

Confluence

Job description

About the role

As an AI Project Manager, you will make an impact by leading the delivery of artificial intelligence, machine learning, and data-driven initiatives from planning through deployment. You will work collaboratively with data scientists, machine learning engineers, developers, business stakeholders, vendors, and IT teams to deliver scalable, responsible AI solutions aligned with business objectives.

In this role, you will:

• Define project scope, objectives, milestones, resource requirements, and delivery plans for AI, machine learning, and data initiatives, including data readiness, model development, and deployment.
• Lead Agile delivery activities, including sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives, while tracking progress through Jira, Microsoft Project, and Azure DevOps.
• Translate business requirements into user stories, acceptance criteria, and measurable success metrics, including model performance, user adoption, and return on investment.
• Identify and manage risks involving data quality, model bias, security, privacy, regulatory compliance, and responsible AI governance while maintaining audit-ready documentation.
• Communicate project status, priorities, risks, and outcomes through reports, dashboards, demonstrations, and stakeholder meetings.
• Coordinate team capacity, vendor contributions, and operational readiness to ensure AI solutions are maintainable, scalable, and aligned with enterprise standards.

Work model

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 3 days a week in a client or Cognizant office in Philadelphia, PA.

The working arrangements for this role are accurate as of the date of posting. These may change based on the project you are engaged in, as well as evolving business and client requirements. We will always be transparent about role expectations.

Please note: Some roles may require in-person interviews at Cognizant offices or client locations based on project needs.

What you need to have to be considered

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Five or more years of project management experience, including at least two years leading Agile or Scrum projects.
• Experience managing AI, machine learning, data analytics, or other data-driven initiatives.
• Strong understanding of the AI and machine learning project lifecycle, including data readiness, model development, deployment, and operational support.
• Strong communication, stakeholder management, risk management, and cross-functional team coordination skills.
• Proficiency with project delivery and collaboration tools such as Jira, Microsoft Project, Azure DevOps, or Confluence.

This will help you stand out

• Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Project Management Professional, PMI Agile Certified Practitioner, Certified ScrumMaster, Professional Scrum Master, or Scaled Agile Framework certification.
• Experience applying responsible AI governance practices involving model transparency, bias, privacy, security, or regulatory compliance.
• Experience delivering projects in hybrid work environments.
• Experience supporting AI, data, industrial, or manufacturing initiatives.

Salary and Other Compensation

The annual salary for this position is between $70,000 to $117,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer

The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.