At American Express, the Technology Workforce Strategy team is looking to transform their workforce strategy to ensure they have the right talent, in the right place, at the right time, to meet the evolving delivery needs of the company.
Requirements
- Strong proficiency in SQL, Python, and data visualization tools (Power BI, Tableau); experience with cloud platforms and modern data stacks.
- Experience with generative AI tools (e.g., OpenAI, LangChain) and LLM-powered insight generation.
- 5+ years of experience in data analytics, automation, or data engineering.
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Engineering); advanced degree preferred.
- Experience managing large-scale programs and cross-functional teams.
- Management consulting experience a plus.
- Experience with automated data pipelines, dashboards, and reporting tools
Responsibilities
- Lead the development of automated data pipelines, dashboards, and reporting tools to support workforce strategy and planning.
- Conduct advanced statistical and quantitative analyses to uncover trends, forecast talent supply/demand, and inform strategic decisions.
- Define and monitor KPIs critical to achieving multi-year workforce goals; recommend new metrics and data sources to enhance insights.
- Translate complex data into executive-level narratives using tools like Power BI and generative AI frameworks.
- Partner with teams such as Technology Finance, Global Real Estate, Portfolio Management, Vendor Management, Colleague Engagement Group, and other transformation teams to ensure consistency in data usage and reporting.
- Drive continuous improvement in data governance, tooling, and analytics processes across the Technology Workforce COE.
- Leads data-driven scenario modeling using advanced analytical tools, applying forecasting mechanisms to inform strategic workforce decisions.
Other
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Engineering); advanced degree preferred.
- 5+ years of experience in data analytics, automation, or data engineering.
- Proven ability to lead complex programs, influence senior stakeholders, and communicate effectively across technical and non-technical audiences.
- Strong analytical mindset with the ability to develop measurable goals and track success.
- Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.
