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Open nowPosted yesterday

Manager - Data Engineering

American Express215 open roles

Where
New York, NY, United States
Work mode
Hybrid
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Your applicationOpen nowManager - Data EngineeringAmerican Express · New York, NY, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on American Express's own form.

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The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market. American Express postings stay open a median of 4 days.

Share of postings closed within
  1. 1.9%1 day
  2. 4.0%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: posted yesterday

American Express median: 4 days open

The posting

Job Description

Seeking an experienced, data-driven professional to support the Platform Health Program by analyzing complex technology investment and portfolio datasets, developing scalable data and reporting solutions, and delivering actionable insights that improve portfolio transparency, operational efficiency, and strategic decision-making.

The ideal candidate is based in New York and brings a combination of data analytics, engineering, business intelligence, and technology portfolio management experience, with the ability to collaborate closely with Technology, Product, Finance, and Portfolio Management teams.

Responsibilities

  • Portfolio Performance & Analytics: Monitor and analyze technology portfolio performance across investments, budgets, resource allocation, forecasts, delivery schedules, and operational health to identify trends, risks, variances, and opportunities for improvement.
  • Data Analysis & Integration: Gather, consolidate, and analyze large, disparate technology and financial datasets, leveraging Python, SQL, APIs, and data pipelines to improve data accessibility, accuracy, and reporting efficiency.
  • Business Intelligence & Executive Reporting: Develop dashboards, Power BI reports, PowerPoint presentations, and on-demand analytics to communicate portfolio performance, investment insights, and key findings to leadership and stakeholders.
  • Investment & Resource Optimization: Partner with Portfolio Management, Finance, and Technology teams to evaluate investment priorities, resource capacity, budget utilization, and delivery risks, providing data-driven recommendations to support portfolio planning and decision-making.
  • AI & Process Automation: Leverage AI-assisted analytics, machine learning, and automation capabilities to enhance data classification, forecasting, reporting accuracy, and portfolio management processes.
  • Data Quality & Governance: Support data validation, reconciliation, lineage, and reporting standards to ensure consistent, reliable, and transparent portfolio information across multiple data sources.
  • Cross-Functional Collaboration: Work closely with Technology, Product, Finance, and business stakeholders to understand reporting needs, validate findings, align portfolio metrics, and translate business requirements into actionable insights and technical solutions.
  • Continuous Improvement & Innovation: Proactively identify opportunities to streamline reporting, enhance Platform Health transparency, improve portfolio governance, and develop scalable data solutions that support strategic technology investment decisions.

Qualifications

  • Strong experience in data analytics, data engineering, or technology portfolio analytics, with 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, with experience developing executive dashboards, automated reports, and portfolio performance visualizations.
  • Experience working with technology investment, financial, or portfolio management datasets, including platforms such as 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 to improve data insights, reporting accuracy, and operational efficiency.
  • 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, as well as cloud-based data and analytics environments.
  • Strong analytical, problem-solving, communication, and stakeholder management skills, with the 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.

About Us

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.

We 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
  • 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

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.

The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.​

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