Manager - Program Management - Enterprise Data Platforms

Job d:

Location:

Phoenix, AZ, United States Salary: $103750 - $174750 annually + bonus + benefits

Job Function:
Technology Business Mgmt

Schedule:

Full time

Shift: Day Workplace:
Hybrid Career Area:
Technology Company:
American Express Description The  Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the Enterprise Bid Data Platform and engineering, architecture, and Platform enablement supporting 20+ Lines of Business across American Express.
Our Big data Platform is the backbone of enterprise data – driving scalable, secure, and high-performance for the enterprise data warehouse powering data-driven insights across American Express. This role will drive technical delivery across multiple initiatives that support the resilience, innovation, and growth of our big data platform. Responsibilities How will you make an impact in this role?

Manage the strategic planning, coordination, and execution of technology-focused projects, ensuring alignment with organizational objectives and project goals

Ability to define and execute complex program roadmaps, aligning business and technology strategies Drive technical delivery in Agile, SAFe, and hybrid delivery models Ability to have strong dependency management across multiple teams and platforms Skilled in risk management, issue resolution, and executive-level reporting Experience managing vendor/partner ecosystems and platform integrations

Strong executive presence with the ability to influence senior leadership and stakeholders Experience working across business, product, data, and engineering teams Ability to communicate complex technical concepts in clear, business-oriented terms

Qualifications

Preferred Qualifications Bachelor's degree in a technical discipline (e.g., Computer Science, Information Technology, Engineering) and/or comparable experience; advanced degree preferred

Knowledge of Agile/SAFe/Lean methodologies8–12+ years in technical program management, delivering large-scale data and platform initiatives Proven track record managing cloud-based data platforms (e.g., AWS, Azure, 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 Familiarity with agentic AI use cases (automation, orchestration, decision intelligence) 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

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain position. About the Team At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.