Analyst Data Governance & Management

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 company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.

The Enterprise Data Office (EDO) is part of the Technology organization and sets the enterprise strategy for and delivery of critical data-related initiatives required to accelerate the ongoing digital transformation of American Express products and services, enhance the overall customer experience, strengthen our data strategy and practices, and drive our continued growth.  

The Analyst, Enterprise Data Office India Data Activation role will support the activation of data management (as outlined in the organization’s Enterprise Data Governance Policy) across business units at American Express. This role will also provide support in training, communications, and change management related to data governance across the enterprise.​

The Analyst will be responsible for:

• Data Governance Ownership: Lead the development, implementation, and maintenance of data governance frameworks, policies, and procedures to ensure data integrity, quality, and compliance across the organization. Drive execution of data activation activities and processes to bring data under governance (e.g., critical data element prioritization, data mapping, identifying data management roles, documenting data, and classifying systems)​
• Project Management: Manage data governance projects from inception to completion, including planning, execution, monitoring, and reporting, ensuring alignment with organizational goals and timelines.​
• Risk Data Expertise: Serve as the subject matter expert on risk data management, identifying potential data risks, and implementing mitigation strategies to safeguard the organization's data assets.​
• Collaboration and Communication: Work closely with data stewards, custodians, and various stakeholders to promote data governance awareness, provide training, and ensure adherence to established data management practices.​
• Data Quality Monitoring: Establish and monitor data quality metrics, facilitating the resolution of data quality issues, and implementing continuous improvement initiatives.​
• Regulatory Compliance: Ensure that data governance practices comply with relevant regulations and standards, staying abreast of changes in data protection laws and industry best practices.​
• Tool Implementation: Collaborate with IT teams to implement and manage data governance tools and technologies, such as Collibra, to support data governance activities.

Mandatory Skills Required:

• Expertise in Collibra.
• Project management skills.
• Exposure to RCSA (Risk Control Self-Assessment).
• Power App Developer Experience.

• Educational Background: Bachelor’s degree in Information Management, Computer Science, Business Administration, or a related field. A Master’s degree is a plus.​
• Experience: Minimum of 2-4 years of experience in data governance, data management, or related roles, preferably within the financial services industry.​
• Project Management Skills: Proven ability to manage multiple projects simultaneously, with strong organizational and time-management skills. Project Management Professional (PMP) certification is desirable.​
• Data Governance Expertise: In-depth understanding of Data Management and Data Governance principles, including metadata management, data lineage, data quality, and data stewardship. Familiarity with the Data Management Body of Knowledge (DMBOK) is advantageous.​  
• Risk Management Knowledge: Strong knowledge of risk data management practices, including identifying, assessing, and mitigating data-related risks.​
• Technical Proficiency: Experience with data governance tools (e.g., Collibra) and data visualization tools (e.g., Tableau, Power BI). Proficiency in SQL and familiarity with database structures are beneficial.​
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical stakeholders and influence across all levels of the organization.​
• Analytical Skills: Strong analytical and problem-solving abilities, with a keen attention to detail. ​
• Adaptability: Ability to work independently and take initiative with minimal supervision, demonstrating flexibility and resilience in a dynamic environment. Self-motivated and proactive, ability to manage multiple assignments and projects concurrently within tight deadlines.

• Proven track record of driving results in a fast-paced environment often with significant ambiguity and needing to make decisions with less than perfect information.​

  Preferred Qualifications:

• Certifications: Certified Data Management Professional (CDMP) or equivalent certification.​ 
• Technical Skills: Experience with data integration tools and familiarity with cloud platforms (e.g., AWS, Lumi, Cornerstone).​
• Industry Knowledge: Understanding of the financial services industry's regulatory environment and data-related compliance requirements.