Cognizant is seeking an experienced Technical Project Manager to lead AI-powered document processing and authoring initiatives. The role manages end-to-end delivery, requirements gathering, stakeholder collaboration, AI solution enablement, testing, documentation, risk management, and production support.

Responsibilities:

Lead end-to-end project execution for AI-powered document processing and authoring initiatives
Develop and manage project plans, timelines, milestones, deliverables, and resource requirements
Ensure projects are delivered on schedule, within scope, and aligned with business objectives
Monitor project performance and proactively address risks, issues, and dependencies
Facilitate project status reviews, steering committee meetings, and stakeholder communications
Partner with business stakeholders to gather, analyze, and document business requirements
Translate business requirements into detailed functional and technical specifications
Develop process flows, business workflows, user stories, and acceptance criteria
Ensure requirements are clearly documented and understood by technical delivery teams
Identify edge cases, business scenarios, and validation criteria to support successful solution delivery
Support AI-powered document processing and authoring initiatives throughout the project lifecycle
Collaborate with architects and technical teams to define AI solution requirements and business outcomes
Utilize prompt engineering concepts to support AI use-case development and optimization
Assist in Codex prompting activities and AI-output validation processes
Develop examples, use cases, and testing scenarios to improve AI performance and user adoption
Coordinate business reviews of AI-generated outputs and ensure alignment with expected outcomes
Act as the primary liaison between business users, product owners, developers, architects, QA teams, and platform partners
Manage stakeholder expectations and provide regular project updates and communications
Facilitate workshops, requirement sessions, user demonstrations, and solution reviews
Drive collaboration across cross-functional teams to ensure successful project execution
Coordinate testing activities, including:
- Functional Testing
- Integration Testing
- User Acceptance Testing (UAT)
- AI Output Validation
Ensure business requirements and acceptance criteria are met before release
Manage defect triage activities and coordinate issue resolution efforts
Support quality assurance processes throughout the solution lifecycle
Create and maintain project documentation, business requirements, process documentation, project plans, release communications, and operational guides
Ensure project artifacts are complete, accurate, and aligned with organizational standards
Support knowledge transfer and operational readiness activities
Maintain project governance documentation and audit-ready records
Identify, track, and mitigate project risks and dependencies
Escalate critical issues and blockers when appropriate
Coordinate project activities across multiple teams and workstreams
Ensure alignment between business priorities, technical capabilities, and project delivery objectives

Requirements:

Bachelor's degree in Business, Information Technology, Computer Science, Engineering, or a related field, or equivalent work experience
10+ years of experience in Technical Project Management, Business Analysis, or Technology Delivery roles
Experience managing AI, Digital Transformation, Data, or Enterprise Technology projects
Strong experience gathering and analyzing business requirements
Proven ability to translate business needs into technical requirements and actionable delivery plans
Experience developing:
User Stories
Acceptance Criteria
Business Process Flows
Functional Requirements Documentation
Knowledge of:
Prompt Engineering
AI-Output Validation
AI Document Processing Workflows
AI Authoring Solutions
Strong project planning, coordination, and execution skills
Experience managing project timelines, risks, dependencies, and stakeholder expectations
Understanding of software development lifecycle (SDLC) methodologies
Knowledge of enterprise system integrations and API-based architectures
Strong written, verbal, presentation, and facilitation skills
Excellent organizational, analytical, and problem-solving abilities
Experience supporting Generative AI or Intelligent Automation initiatives
Familiarity with AI-powered document processing or content generation platforms
Experience working within Agile, Scrum, or hybrid project delivery frameworks
Understanding of cloud-based architectures and enterprise platforms
Experience with JIRA, Azure DevOps, Confluence, or similar project management tools
Project Management Professional (PMP), Certified Scrum Master (CSM), or equivalent certification
Experience managing distributed global teams and enterprise-scale programs
Candidates should demonstrate familiarity with:
Technical Project Management
Business Analysis
Generative AI
AI Output Validation
User Story Development
Acceptance Criteria Definition
Software Development Lifecycle (SDLC)
API Integrations
Enterprise Applications
Agile Delivery Methodologies
Risk Management
Stakeholder Management
Process Documentation
User Acceptance Testing (UAT)

AI Technical Project Manager

Key skills

About this role

Responsibilities:

Requirements: