SrAnalyst Data Governance&Mgmt

About the Role

We are looking for a Senior Analyst – Data Governance & Management to support the development and execution of data capabilities that support customer management risk models for the U.S. market. This role will ensure high-quality, reliable, and accessible data is available to support model development, performance monitoring, and ongoing analytical needs. You will work at the intersection of data, analytics, and risk management, collaborating with cross-functional teams to improve how data is managed, governed, and consumed. A key focus will be driving innovation in the data ecosystem, leveraging technologies such as GenAI, BigQuery, and Python, along with automation, to simplify data access, reduce manual effort, improve scalability, and develop more efficient and cost-effective data solutions. This role offers an opportunity to solve complex and evolving data problems while contributing to the modernization of American Express' risk and analytical capabilities.

Key Responsibilities

• Develop, review, and maintain data capabilities supporting customer management and risk models, including datasets for model development, execution, and ongoing performance monitoring.
• Analyze large and complex datasets to identify meaningful patterns, trends, data quality issues, and opportunities for improvement.
• Identify opportunities to automate manual processes, simplify existing workflows, and improve operational efficiency.
• Identify opportunities to optimize data capabilities and reduce unnecessary storage, processing, and maintenance costs.
• Explore innovative approaches across data, analytics, automation, and machine learning to continuously improve existing capabilities.
• Partner with cross-functional teams across risk, analytics, technology, and other business areas to improve data accessibility, quality, governance, and usability.
• Structure and clearly communicate analytical findings, recommendations, risks, and business impact to leadership and key stakeholders.
• Navigate complex and unstructured problems by asking thoughtful questions, evaluating different approaches, and translating findings into actionable solutions.

Requirements & Tech Stack

• Working knowledge of BigQuery and Python, with the ability to analyze and work with large datasets.
• Understanding of data analysis concepts and the ability to translate data into meaningful business insights.
• Experience with GenAI is a plus.
• Experience with SQL is preferred.

Qualifications

• MBA or Master's degree in Economics, Statistics, Computer Science, Data Science, or a related quantitative field.
• 0–30 months of relevant experience in analytics, data management, data governance, or related data capabilities.
• Ability to manage project deliverables and drive initiatives toward measurable business outcomes.
• Strong analytical and problem-solving skills, with the ability to work through complex and unstructured problems.
• Ability to work independently and take ownership of assigned deliverables while contributing effectively within a team environment.
• Strong written and verbal communication skills, with the ability to clearly communicate findings to both technical and non-technical stakeholders.
• Hands-on experience with BigQuery, Python, SQL, or similar data and analytical technologies is preferred.
• Experience developing or supporting automated data processes and workflows is preferred.
• Exposure to data governance, data quality, metadata management, data lineage, or data lifecycle management is preferred.
• Understanding of model development, model performance monitoring, or the data requirements associated with analytical and machine learning models is preferred.
• Exposure to financial services, payments, credit risk, fraud risk, or customer analytics is preferred.