Analyst Data Governance & Management

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values a nd powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Be part of a team that is shaping the future of data at American Express India and making a significant impact!

Joining the India Data Office , this role will focus on Risk Management supporting the implementation of:

- Identification, assessment, monitoring, and mitigation of data risks and issues.
- Effective project governance, tracking, escalation, and stakeholder reporting.
- Development of KRIs, dashboards, and management insights to monitor risk exposure, control performance, remediation, and program health.

Qualifications:

- Degree in a quantitative area (e.g. Finance, Statistics, Economics, Mathematics and Engineering) is preferred.
- Minimum 2 year of experience in data management, data governance, operational risk, or issue/incident management.

Technical and Function Skills/Capabilities:

- Proactive thinking and strong analytical skills.
- Strong ability to solve unstructured problems through data.
- Strong risk mindset and ability to collaborate
- Excellent critical thinking and attention to detail.
- Exceptional drive and commitment; ability to work and thrive in in fast changing, results driven environment; and proven ability in handling competing priorities.
- Proactive learner with the ability to quickly learn new concepts and techniques with minimal supervision.
- Strong understanding of data lifecycle principles, data quality concepts, lineage, and metadata.
- Strong verbal and written communication skills, with the ability to translate between various technical and non-technical audiences
- Knowledge of credit risk strategy and/or payments industry is a plus