Manager - Program Management - Enterprise Data Platforms

American Express•Phoenix, AZ
•$103,750 - $174,750

About The Position

The Manager - Program Management role is part of American Express’s Enterprise Technology Services organization, which supports technology, digital, and data capabilities, platforms, and services globally. The team is responsible for the Enterprise Bid Data Platform and related engineering, architecture, and platform enablement for more than 20 lines of business. The Big Data Platform supports the enterprise data warehouse and enterprise-wide data-driven insights. This role drives technical delivery across initiatives that support the resilience, innovation, and growth of the Big Data Platform. It manages strategic planning, coordination, and execution of technology-focused projects and complex program roadmaps, aligning business and technology strategies. The role works across business, product, data, and engineering teams; coordinates dependencies across teams and platforms; manages risks, issues, vendors, partners, and integrations; and communicates technical concepts and program status to stakeholders and senior leadership. The position calls for experience with Agile, SAFe, and hybrid delivery models, cloud-based data platforms, big data ecosystems, enterprise-scale transformations, semantic layers, data standardization, and data-as-a-product models. Familiarity with agentic AI use cases and the ability to translate business needs into AI-enabled, data-driven solutions are also sought. American Express describes a culture centered on innovation, shared values, leadership behaviors, and supporting customers, communities, and colleagues. It offers benefits supporting physical, financial, and mental well-being, along with career development opportunities. Work arrangements may be onsite, hybrid, or virtual depending on the role and business need.

Requirements

  • 8–12+ years in technical program management, delivering large-scale data and platform initiatives.
  • Bachelor’s degree in a technical discipline, such as Computer Science, Information Technology, or Engineering, and/or comparable experience.
  • Knowledge of Agile, SAFe, or Lean methodologies.
  • Proven track record managing cloud-based data platforms, such as AWS, Azure, or GCP, and big data ecosystems.
  • Experience leading cross-functional programs spanning data engineering, AI/ML, analytics, and platform teams.
  • Demonstrated success delivering enterprise-scale, multi-year transformations.
  • Experience implementing or supporting enterprise semantic layers and data standardization initiatives.
  • Understanding of data-as-a-product models and domain-oriented data ownership.
  • Ability to translate business needs into AI-enabled, data-driven solutions.
  • Knowledge of technical challenges and systems design, with the ability to facilitate technical discussions and drive solutions.
  • Strong dependency management, risk management, issue resolution, executive reporting, vendor and partner management, stakeholder influence, and business-oriented communication skills.

Nice To Haves

  • Advanced degree preferred.
  • Familiarity with agentic AI use cases, including automation, orchestration, and decision intelligence.

Responsibilities

  • Manage strategic planning, coordination, and execution of technology-focused projects, aligning them with organizational objectives and project goals.
  • Define and execute complex program roadmaps that align business and technology strategies.
  • Drive technical delivery using Agile, SAFe, and hybrid delivery models.
  • Manage dependencies across multiple teams and platforms.
  • Manage risks and resolve issues; provide executive-level reporting.
  • Manage vendor and partner ecosystems and platform integrations.
  • Influence senior leadership and stakeholders through strong executive presence.
  • Work across business, product, data, and engineering teams.
  • Communicate complex technical concepts in clear, business-oriented terms.

Benefits

  • 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 of paid parental leave for all parents, regardless of gender, 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 the Healthy Minds program.
  • Career development and training opportunities.
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