Manager – Data Engineering

American Express

. Monitor and analyze technology portfolio performance across investments, budgets, resource allocation, forecasts, delivery schedules, and operational health .

Posted 10/10/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $123,000 - $215,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and technology portfolio management, utilizing Python, SQL, and Power BI to deliver actionable insights and enhance decision-making processes. Proficient in leveraging AI and machine learning for data-driven recommendations and reporting automation.

Highest-signal resume keywords

Data AnalyticsPython ProgrammingSQL ProficiencyPower BI DevelopmentAI/ML Application

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL/ELTData ModelingREST APIsLarge-Scale Data AnalysisDAXPower QueryData IntegrationDatabase ManagementPredictive Modeling

Soft Skills

Analytical SkillsProblem-SolvingCommunicationStakeholder Management

Tools & Technologies

Microsoft FabricPowerPointMicrosoft Power PlatformPower AppsPower AutomateCloud-Based Data Environments

Industry Keywords

Technology Portfolio ManagementInvestment PlanningBudget TrackingFinancial ForecastingProject Delivery PerformanceData Quality ValidationReporting AutomationData Governance Best Practices

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Monitor and analyze technology portfolio performance across investments, budgets, resource allocation, forecasts, delivery schedules, and operational health
Gather, consolidate, and analyze large, disparate technology and financial datasets using Python, SQL, APIs, and data pipelines
Develop dashboards, Power BI reports, PowerPoint presentations, and on-demand analytics for leadership and stakeholders
Partner with Portfolio Management, Finance, and Technology teams to evaluate investment priorities, resource capacity, budget utilization, and delivery risks
Provide data-driven recommendations supporting portfolio planning and decision-making
Leverage AI-assisted analytics, machine learning, and automation to enhance data classification, forecasting, reporting accuracy, and portfolio management processes
Support data validation, reconciliation, lineage, and reporting standards
Collaborate with Technology, Product, Finance, and business stakeholders to translate requirements into actionable insights and technical solutions
Identify opportunities to streamline reporting, enhance Platform Health transparency, improve portfolio governance, and develop scalable data solutions

Requirements

What you’ll need

Strong experience in data analytics, data engineering, or technology portfolio analytics
Hands-on proficiency in Python, SQL, JSON, data modeling, ETL/ELT, REST APIs, and large-scale data analysis
Proficiency in Power BI, Microsoft Fabric, DAX, Power Query, Excel, and PowerPoint
Experience developing executive dashboards, automated reports, and portfolio performance visualizations
Experience working with technology investment, financial, or portfolio management datasets, including IBM Apptio or equivalent solutions
Understanding of technology portfolio management, investment planning, budget tracking, financial forecasting, resource capacity, and project delivery performance
Experience applying AI/ML, LLM-enabled analytics, predictive modeling, and workflow automation
Knowledge of data integration, database management, data quality validation, reporting automation, and data governance best practices
Familiarity with Microsoft Power Platform, including Power Apps and Power Automate, and cloud-based data and analytics environments
Strong analytical, problem-solving, communication, and stakeholder management skills
Ability to translate complex data into clear, actionable recommendations for leadership
Bachelor's degree in Computer Science, Engineering, Data Analytics, Business Analytics, or equivalent professional experience; advanced degree preferred

Benefits

Comp & perks

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
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