Manager – Tech Project Management

American Express

. Develop and execute integrated delivery plans across GRCT, partner teams, and AI/ML product, engineering, data science, and platform teams.

Posted 10/27/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $123,000 - $215,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Agile project management, focusing on the delivery of AI/ML products through effective collaboration with cross-functional teams. Proficient in managing backlogs, tracking delivery metrics, and ensuring compliance with responsible AI and data governance standards.

Highest-signal resume keywords

Agile Project ManagementAI/ML Delivery LifecycleBacklog ManagementRally or Jira ExperienceData Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Technology DeliveryProject ManagementMachine LearningArtificial IntelligenceData AnalyticsSDLC ProcessesModel DevelopmentIntegrationDeploymentProduction Monitoring

Soft Skills

CollaborationCommunicationCoachingProblem-SolvingContinuous Improvement

Tools & Technologies

RallyJira

Industry Keywords

Responsible AIModel Risk ManagementData GovernancePrivacySecurity

Tech Stack

Tools & technologies

SDLC

About the role

Key responsibilities & impact

Develop and execute integrated delivery plans across GRCT, partner teams, and AI/ML product, engineering, data science, and platform teams.
Lead sprint planning, backlog refinement, demonstrations, and other Agile ceremonies.
Ensure prioritized backlogs, clear acceptance criteria, and alignment with Program Increment objectives.
Coordinate cross-team dependencies and AI/ML activities spanning data readiness, experimentation, model development and validation, integration, testing, deployment, and production monitoring.
Translate technical solutions, dependencies, risks, trade-offs, and delivery progress into clear documentation and updates for business and technology stakeholders.
Track and resolve impediments, risks, resource needs, and delivery gaps.
Use team-level metrics and data-driven insights to measure execution, delivery progress, quality, and value realized for end users.
Partner with Product Owners and technical leads to define delivery outcomes, measures of success, and scalable, production-ready AI-enabled capabilities.
Support responsible AI, model risk management, data governance, security, privacy, and technology-control requirements.
Champion Agile principles, continuous improvement, and innovation to strengthen team performance and deliver responsible, measurable business outcomes.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Business Management, or another technology field, or equivalent work experience; advanced degree preferred.
3+ years of progressively responsible technology delivery and project management experience.
Experience using Rally, Jira, or similar tools to track iteration progress, resolve issues, remove obstacles, and meet sprint commitments.
Experience partnering with Product Owners and cross-functional teams to build, prioritize, and maintain product backlogs.
Experience coaching teams on Technology SDLC processes, Agile values, principles, and practices to improve delivery capacity.
Experience delivering Machine Learning, Artificial Intelligence, advanced analytics, data, or similarly complex technology products.
Ability to collaborate effectively with Data Scientists, Machine Learning Engineers, Software Engineers, Architects, Product Owners, governance partners, and business stakeholders.
Working knowledge of the AI/ML delivery lifecycle, including data readiness, experimentation, model development, validation, integration, deployment, and production monitoring.
Ability to communicate technical concepts, dependencies, risks, and trade-offs across technical and nontechnical audiences, with familiarity in responsible AI, model and data governance, privacy, security, and model risk management.
Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship.

Benefits

Comp & perks

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities