Senior Technical Program Manager

About the Role

We are seeking a Senior Technical Program Manager (TPM) to lead strategic initiatives across the LUMI Big Data Platform, focusing on data engineering, GCP migration, and AI enablement. This role requires a blend of technical depth, program leadership, and agile delivery excellence to guide cross-functional teams in building scalable, secure, and high-performing data solutions for Amex.

Key Responsibilities

• Program Ownership: Drive end-to-end execution of LUMI programs, including cloud migration (GCP), Big Data modernization, and AI/ML enablement across business units.
  
• Agile Delivery Leadership: Manage multiple Scrum and Kanban teams, ensuring effective sprint planning, backlog management, and delivery of high-quality data platform capabilities.
  
• Cloud Transformation: Partner with engineering, architecture, and data science teams to design and implement data pipelines, AI/ML workloads, and analytics capabilities leveraging GCP services such as Big Query, Dataflow, Pub/Sub, Cloud Composer, and Vertex AI.
  
• Stakeholder Alignment: Collaborate closely with technology and product leaders to define strategic roadmaps, delivery milestones, and measurable outcomes aligned to LUMI’s vision.
  
• Technical Program Governance: Establish clear delivery metrics, OKRs, and reporting mechanisms for visibility, risk management, and continuous improvement.
  
• Process Optimization: Champion agile best practices, automation, and DevOps principles to accelerate development cycles and improve release velocity.
  
• Team Development: Mentor senior engineers, foster a culture of accountability, innovation, and technical excellence.
  
• Compliance & Security: Ensure all data solutions adhere to Amex’s security, privacy, and compliance standards.
  

Required Qualifications

• 15+ years of total experience, including 8+ years in technical program management delivering enterprise-scale data or cloud programs.
  
• Proven track record in managing Big Data, AI/ML, or cloud transformation initiatives in complex environments.
  
• Strong hands-on understanding of GCP data and AI services — Big Query, Dataflow, Pub/Sub, Cloud Composer, DataProc, etc.
  
• Deep familiarity with Agile methodologies (Scrum, Kanban) and tools (Jira, Confluence).
  
• Background in data engineering, ETL/ELT pipelines, data governance, and performance optimization.
  
• Demonstrated ability to influence and communicate effectively across technical and executive levels.
  
• Excellent analytical, organizational, and problem-solving skills.
  

Preferred Qualifications

• Certifications: PMP, CSM, SAFe Agilist, or Google Cloud Certified – Professional Cloud Architect/Engineer.
  
• Experience with Big Data technologies (Dataflow, Spark, Kafka, Hadoop, Airflow).
  
• Exposure to MLOps and AI-driven data products.
  
• Previous experience in financial services or large-scale data platform engineering.
  

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• 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