Senior Associate, Data Analytics and Risk Reduction

Job Description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

Joining ETS Governance & Control means helping protect American Express customers and company through integrated, intelligence-driven technology risk and control management. Operating at the intersection of technology, governance, and risk, the team partners across the enterprise to modernize the foundation, advance risk intelligence, demonstrate trust at scale, and reduce material risk-enabling innovation with the right controls in place.

By building simplified, consistent frameworks and embedding continuous assurance, ETS Governance & Control enhances transparency, accountability, and sustainable risk reduction. The work is about empowering confident decisions, accelerating responsible delivery, and ensuring controls evolve with the business to strengthen trust and reduce enterprise risk at scale.

The Risk & Control, Enterprise Platforms & Technology Business Management (EP & TBM) team delivers strategic, scalable solutions to strengthen processes, improve control effectiveness, and reduce operational risk across the EP & TBM organization within Enterprise Technology Services (ETS).

The Senior Associate, Data Analytics and Risk Reduction is responsible for leveraging data analytics to identify, assess, and reduce operational risk across the EP & TBM organization. This role partners with multiple stakeholders to develop analytics that provide insight into the risk landscape, identify emerging risk patterns, investigate root causes, and recommend scalable process improvements.

This role transforms complex technology and operational data into actionable insights that enable leadership to prioritize risk reduction initiatives, strengthen ways of working, and improve operational resilience.

Responsibilities

The Senior Associate, Data Analytics and Risk Reduction will:

• Develop and execute repeatable data-driven analyses to provide visibility into the operational risk landscape, identify risk reduction opportunities and support prioritization of risk reduction initiatives.
• Analyze large and complex datasets to identify risk trends, emerging patterns, process breakdowns, and systemic control gaps.
• Perform root cause analysis to understand underlying drivers of operational risk and recommend sustainable process improvements.
• Collaborate with Engineering, Product, Technology Risk, and Control Management teams to validate findings and develop practical, data-informed solutions.
• Measure and report on the effectiveness of implemented risk reduction initiatives using quantitative and qualitative performance metrics.
• Support special projects that evaluate emerging risks, ways of working, and operational process effectiveness.
• Communicate analytical findings through presentations, visualizations, and data storytelling that influence decision-making.
• Continuously identify opportunities to automate data collection, reporting, and monitoring to improve efficiency and scalability.

Qualifications

• 2+ years of experience in risk data analytics, operational risk, technology risk, process improvement, business intelligence, or related analytical functions.
• Experience analyzing complex datasets to identify trends, anomalies, root causes, and improvement opportunities.
• Strong analytical and problem-solving skills with the ability to convert data into actionable business insights.
• Strong project management, organizational, and stakeholder management skills with the ability to manage multiple concurrent initiatives.
• Excellent written and verbal communication skills.
• Ability to work independently while collaborating effectively across cross-functional teams.

Preferred Qualifications

• Bachelor's degree in Risk Management, Data Analytics, Statistics, Computer Science, Business Analytics, Finance, or related discipline.
• Experience supporting Digital Product, Software Engineering, Platform Engineering, or Technology organizations.
• Experience with operational risk management, process governance, technology controls, or software development lifecycle (SDLC) processes.
• Experience performing root cause analysis and translating findings into measurable process improvements.
• Experience building automated dashboards and visualizations using tools such as Tableau, Power BI, or similar business intelligence platforms.
• Experience querying and analyzing data using SQL and working with large, structured datasets.
• Experience using Python, R, or similar analytical programming languages for data analysis and automation.
• Familiarity with Agile delivery methodologies, DevSecOps practices, cloud technologies, or software engineering metrics.
• Knowledge of operational risk frameworks, Key Risk Indicators (KRIs), and control concepts.

Desired Technical Skills

• SQL and relational databases
• Tableau, Power BI, or equivalent visualization tools
• Python, R, or other analytical programming languages (preferred)
• Microsoft Excel and advanced data analysis techniques
• Data visualization and storytelling
• Root cause analysis methodologies
• Process mapping and process improvement techniques
• Risk analytics and performance measurement

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.