American Express
American Express
American Express is a global financial services company operating across banking, finance, and B2B payments. Its business includes consumer, business, and corporate credit cards; payment and merchant services; savings accounts, certificates of deposit, and personal loans; as well as rewards, travel programs, corporate payment solutions, financial education, security services, and cardmember and merchant support.

Senior Data Governance Analyst – American Express (Bengaluru, Hybrid)

Support American Express customer-management risk models through data governance, quality improvement, automation, and analytics. Use BigQuery and Python to strengthen data capabilities and analytical performance.

Description

  • Build, assess, and maintain datasets and data capabilities for customer-management and risk models across development, execution, and performance monitoring.
  • Examine complex datasets to uncover patterns, trends, quality concerns, and areas for improvement.
  • Automate manual activities, streamline workflows, and strengthen operational efficiency.
  • Improve data capabilities while limiting avoidable storage, processing, and maintenance costs.
  • Apply new ideas in data, analytics, automation, and machine learning to enhance existing capabilities.
  • Work with risk, analytics, technology, and business teams to make data more accessible, reliable, governed, and usable.
  • Present analytical results, recommendations, risks, and business implications clearly to leaders and key stakeholders.
  • Break down ambiguous challenges by asking focused questions, assessing alternatives, and turning analysis into practical solutions.

Requirements

  • MBA or master's degree in economics, statistics, computer science, data science, or a related quantitative discipline.
  • Up to 30 months of relevant experience in analytics, data management, data governance, or related data capabilities.
  • Practical knowledge of BigQuery and Python, including the ability to work with large datasets.
  • Understanding of data analysis principles and how to turn findings into useful business insights.
  • Ability to manage project deliverables and advance initiatives toward measurable outcomes.
  • Strong analytical and problem-solving ability when addressing complex or ambiguous challenges.
  • Capacity to work independently, own assigned deliverables, and contribute effectively in a team setting.
  • Clear written and verbal communication skills for engaging technical and non-technical stakeholders.
  • Hands-on experience with BigQuery, Python, SQL, or comparable data and analytics technologies.
  • Experience creating or supporting automated data processes and workflows.
  • Familiarity with data governance, data quality, metadata, lineage, or lifecycle management.
  • Understanding of model development, performance monitoring, or data needs for analytical and machine learning models.
  • Exposure to financial services, payments, credit risk, fraud risk, or customer analytics.
  • Employment is subject to successful completion of a background verification check in accordance with applicable laws and regulations.

Benefits

  • Competitive base pay.
  • Bonus opportunities.
  • Financial-wellness and retirement support.
  • Medical, dental, vision, life insurance, and disability coverage, subject to location.
  • Flexible hybrid, onsite, or virtual work arrangements based on the role and business needs.
  • Paid parental leave, subject to location.
  • Access to global onsite wellness centers staffed by nurses and doctors, subject to location.
  • Confidential counseling through the Healthy Minds program.
  • Career development and training programs.

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