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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.
Manager, Data Engineering
Lead data engineering and portfolio analytics for American Express technology investments. Build dashboards, automation, and insights to inform strategic portfolio decisions.
United States
New York$123,000 – $215,250 / year
HybridFull-timeMiddleSeniorEnglish RequiredData EngineerDescription
- Track technology portfolio performance across investments, budgets, staffing, forecasts, delivery timelines, and operational health.
- Combine and analyze large, varied technology and financial datasets with Python, SQL, APIs, and data pipelines.
- Create dashboards, Power BI reports, presentations, and tailored analytics for leaders and stakeholders.
- Work with Portfolio Management, Finance, and Technology teams to assess investment priorities, capacity, budget use, and delivery risks.
- Recommend data-backed actions to guide portfolio planning and decisions.
- Apply AI-assisted analytics, machine learning, and automation to improve data classification, forecasting, reporting accuracy, and portfolio processes.
- Help maintain data validation, reconciliation, lineage, and reporting standards.
- Turn stakeholder needs across Technology, Product, Finance, and business teams into practical insights and technical solutions.
- Find ways to simplify reporting, clarify Platform Health, strengthen portfolio governance, and build scalable data solutions.
Requirements
- Bring substantial experience in data analytics, data engineering, or technology portfolio analytics.
- Use Python, SQL, JSON, data modeling, ETL/ELT, REST APIs, and large-scale data analysis in practice.
- Work proficiently with Power BI, Microsoft Fabric, DAX, Power Query, Excel, and PowerPoint.
- Have developed executive dashboards, automated reports, and portfolio performance visualizations.
- Have worked with technology investment, financial, or portfolio management data, including IBM Apptio or comparable tools.
- Understand technology portfolio management, investment planning, budget tracking, financial forecasting, resource capacity, and project delivery performance.
- Have applied AI/ML, LLM-enabled analytics, predictive modeling, and workflow automation.
- Know data integration, database management, data quality validation, reporting automation, and data governance practices.
- Be familiar with Microsoft Power Platform tools such as Power Apps and Power Automate, and with cloud data and analytics environments.
- Bring strong analytical, problem-solving, communication, and stakeholder management skills.
- Translate complex data into clear, actionable guidance for leadership.
- Hold a bachelor's degree in Computer Science, Engineering, Data Analytics, Business Analytics, or equivalent professional experience; an advanced degree is preferred.
Benefits
- Competitive base pay.
- Bonus opportunities.
- A 6% company match on retirement plan contributions.
- Complimentary financial coaching and financial well-being support.
- Medical, dental, vision, life insurance, and disability coverage.
- Flexible hybrid, onsite, or virtual work arrangements based on the role and business needs.
- More than 20 weeks of paid parental leave for all parents, including leave for pregnancy, adoption, or surrogacy.
- Complimentary access to onsite wellness centers with nurses and doctors at participating locations.
- Free, confidential counseling through the Healthy Minds program.
- Career growth and training opportunities.
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