The Colleague Experience Group (CEG) is responsible for delivering colleague-focused programs and services globally, including career growth and development, leadership and learning, recruitment, colleague servicing, and other employee experience initiatives.
Within CEG, the Colleague Services (CS) organization enables colleagues through best-in-class services, capabilities, knowledge, and operational support, empowering them to perform at their best.
The Colleague Data Office is responsible for advancing data governance, data quality, and data risk management across CEG. The team partners closely with Business, Technology, Risk, and Enterprise Data Management teams to strengthen the data control environment, improve data quality, and ensure data is managed as a strategic enterprise asset.
Responsibilities- Design, develop, and optimize scalable data pipelines and curated datasets using Enterprise Data Platform (EDP) capabilities to enable self-service analytics and enterprise reporting.
- Partner with Product Owners, Agile teams, and business stakeholders to translate business requirements into reusable data products, semantic datasets, and reporting solutions.
- Develop analytical solutions, dashboards, and reporting capabilities using SQL, BigQuery, Python, and Power BI to support business decision-making and operational insights.
- Build and maintain data models, transformations, and data integration processes that improve accessibility, consistency, and usability of enterprise data.
- Collaborate with upstream and downstream application teams to understand data flows, integrate new data sources, and ensure reliable end-to-end data delivery.
- Support User Acceptance Testing (UAT), validation, and deployment of new data products, reporting enhancements, and pipeline improvements within the Enterprise Data Platform.
- Monitor and improve data pipeline performance, data quality, and operational reliability through automation, validation, and continuous improvement practices.
- Perform root cause analysis on data and reporting issues, identify underlying process or system gaps, and implement sustainable corrective solutions.
- Identify and document Critical Data Elements (CDEs), data lineage, metadata, and business definitions to improve discoverability and trust in enterprise data assets.
- Implement and monitor appropriate data quality controls, governance standards, and metadata practices to ensure trusted and compliant data products.
- Support data governance, data stewardship, and data risk remediation activities as part of the overall data product lifecycle.
- Participate in Agile ceremonies including sprint planning, stand-ups, sprint reviews, and retrospectives to support iterative delivery and continuous improvement.
- Collaborate with Business, Technology, Data Engineering, and Enterprise Data Office teams to continuously enhance EDP capabilities and self-service data solutions.
- 4–6 years of experience in data engineering, data analytics, business intelligence, enterprise data platforms, or a related discipline.
- Strong proficiency in SQL for developing complex queries, data transformations, and high-performance datasets.
- Hands-on experience with Python for data engineering, automation, scripting, and data validation.
- Experience working with Google BigQuery or similar cloud data warehouse technologies to build scalable data pipelines and analytical datasets.
- Experience developing Power BI / Tableau dashboards, semantic models, and self-service reporting solutions.
- Experience designing and supporting data pipelines, ETL/ELT processes, and enterprise reporting solutions using modern cloud data platforms.
- Strong understanding of data modeling, data integration, and data lifecycle management principles.
- Ability to translate business requirements into scalable data products and reporting capabilities.
- Strong analytical and problem-solving skills with experience diagnosing data issues and implementing sustainable solutions.
- Experience working in Agile teams with cross-functional business and technology stakeholders.
Preferred Qualifications
- Bachelor’s degree in computer science, Information Systems, Data Engineering, Data Analytics, Engineering, or a related field.
- Experience working with Enterprise Data Platforms (EDP), modern data lakes, or cloud-native analytics platforms.
- Knowledge of data governance concepts including metadata management, data lineage, data quality, and stewardship.
- Experience with enterprise metadata or data catalog tools.
- Exposure to data governance, data risk, and regulatory requirements within enterprise environments.
- Experience building reusable data products that enable self-service analytics and business reporting.
- Prior experience supporting HR, employee, or enterprise operational data domains is an advantage.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
About the TeamWe back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- 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
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
Skills Required
- 4-6 years of experience in data engineering, data analytics, business intelligence, enterprise data platforms, or related discipline
- Strong proficiency in SQL for complex queries, data transformations, and high-performance datasets
- Hands-on experience with Python for data engineering, automation, scripting, and data validation
- Experience working with Google BigQuery or similar cloud data warehouse technologies
- Experience developing Power BI or Tableau dashboards, semantic models, and self-service reporting
- Experience designing and supporting data pipelines, ETL/ELT processes, and enterprise reporting solutions
- Strong understanding of data modeling, data integration, and data lifecycle management principles
- Ability to translate business requirements into scalable data products and reporting capabilities
- Strong analytical and problem-solving skills with experience diagnosing data issues and implementing solutions
- Experience working in Agile teams with cross-functional business and technology stakeholders
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Analytics, Engineering, or related field
- Experience with Enterprise Data Platforms (EDP), modern data lakes, or cloud-native analytics platforms
- Knowledge of data governance concepts including metadata management, data lineage, data quality, and stewardship
- Experience with enterprise metadata or data catalog tools
- Exposure to data governance, data risk, and regulatory requirements within enterprise environments
- Experience building reusable data products that enable self-service analytics and business reporting
- Prior experience supporting HR, employee, or enterprise operational data domains
American Express Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.
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Healthcare Strength — Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
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Retirement Support — Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
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Leave & Time Off Breadth — Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.
American Express Insights
What We Do
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.
