Senior Manager, Analytics Engineering and Data Strategy - Technology Business Enablement
Read straight from American Express's careers page, verified 1d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
SalaryNo pay range posted
LocationNew York, NY, United States
Work modehybrid
Typefull-time
SenioritySenior
Company size10,000+ people
First seenNov 7, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Combines strong business acumen with deep technical expertise
Work directly with business and technology stakeholders to understand decisions and outcomes
Design appropriate data and transformation architecture
Build reusable analytics data products
Lead development of scalable analytics data foundations and reusable data products
Take complex and sometimes ambiguous business and data problems from discovery through architecture, engineering, adoption, and ongoing ownership
Work across Business, Data Engineering, Architecture, Data Governance, Analytics, and Technology teams
Determine how data should be sourced, modeled, transformed, governed, and made reusable
Help establish modern analytics engineering practices, architecture principles, and development standards
Skills
data
analytics
AI
Data Engineering
Data Architecture
About the company
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. As part of Team Amex, you’ll experience this 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 role
The Workforce Strategy (WFS) team within the Technology Business Enablement (TBE) organization helps American Express align its technology workforce with enterprise needs. The team serves as a strategic advisory partner to senior technology leadership providing Enterprise Technology Services (ETS), ensuring the right talent is available at the right place, time and within optimized global cost structure to support technology portfolio demand. WFS collaborates with ETS Portfolio, ETS Finance, Talent Acquisitions, Global Real Estate, Technology Vendor Management and other enterprise partners to deliver forward-looking, data-driven insights on workforce planning, organizational design, and location strategy - enabling coordinated decisions that support scalable growth and long-term business outcomes
The Sr. Manager, Analytics Engineering and Data Strategy will play a key role in establishing future-ready workforce data foundations that power analytics, AI, reporting, and intelligent decision-making across ETS. The role sits at the intersection of business strategy, analytics engineering, data architecture, and data products, translating complex business and metric needs into trusted, scalable, and reusable data capabilities.
This role combines strong business acumen with deep technical expertise. The successful candidate will work directly with business and technology stakeholders to understand the decisions and outcomes they are trying to enable, discover and assess underlying data, design appropriate data and transformation architecture, and build reusable analytics data products that can support multiple downstream use cases.
The role will help move WFS from fragmented, report-specific data preparation toward a governed analytics ecosystem where critical data and business logic are reusable, trusted, documented, and engineered for scale.
How will you make an impact in this role?
The Sr. Manager, Analytics Engineering and Data Strategy will lead the development of scalable analytics data foundations and reusable data products that connect enterprise data with workforce metrics, analytics, reporting, AI, and business decision-making.
The role will take complex and sometimes ambiguous business and data problems from discovery through architecture, engineering, adoption, and ongoing ownership. This individual will work across Business, Data Engineering, Architecture, Data Governance, Analytics, and Technology teams to determine how data should be sourced, modeled, transformed, governed, and made reusable across multiple workforce use cases.
The role will also help establish modern analytics engineering practices, architecture principles, and development standards that improve reliability, quality, maintainability, and speed while enabling analysts and business teams to spend less time sourcing, joining, cleaning, and reconciling data and more time generating insights and driving business outcomes.
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.