Manager - Tech Project Management, GRCT

American Express•New York, NY

About The Position

The Global Risk and Compliance Technology (GRCT) Product Delivery and Integration team is seeking an innovative Technical Project Manager with strong project management and technology skills. The role partners with AI/ML product, engineering, data science, architecture, risk, and technology teams to translate complex work into clear delivery plans and deliver scalable, governed solutions from concept to production. It focuses on value-based outcomes using Agile practices and requires a working understanding of AI/ML products, data dependencies, model-development processes, and the team’s technology platforms. The manager drives delivery enablement and leads engineering, data science, and machine learning teams in applying Agile and Scrum principles to achieve responsible, measurable business outcomes. The Technology organization supports the company’s growth strategies through global capabilities and services while maintaining 24/7 servicing and availability.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Business Management, or another technology field, or equivalent work experience.
  • At least 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.
  • Employment eligibility to work with American Express in the United States; the company will not pursue visa sponsorship for these positions.

Nice To Haves

  • Advanced degree preferred.
  • Familiarity with responsible AI, model and data governance, privacy, security, and model risk management.

Responsibilities

  • 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, ensuring 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 while providing visibility into issues and opportunities across Agile teams.
  • 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 throughout the delivery lifecycle.
  • Champion Agile principles, continuous improvement, and innovation to strengthen team performance and deliver responsible, measurable business outcomes.
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