Analyst-Data Analytics (Gen AI, Agentic AI)

Colleague Experience Group

Provide a great colleague experience every day. Obsess over understanding the colleague experience at a deeper level to co-create simple and great ways of working that enable everyone to be and deliver their best. Responsible for people management, including acquiring talent, developing and retaining colleagues worldwide, and overseeing key programs like compensation, benefits, diversity and colleague and labor relations.

This exciting role will be part of the team managing the Incentives administration process for Global Servicing teams for American Express. The individual’s responsibility will be to learn, stabilize, optimize and transform the process. The individual will be responsible for accurately and timely delivery of Monthly Incentive Processing and reports supporting monthly delivery.  In addition, this individual will be working on various business analysis cases and ad-hoc projects

• Ensure timely and accurate monthly/quarterly incentive calculation for Global servicing colleagues

• Ensure monthly incentives are calculated basis the defined policy guidelines.

• Run incentive calculation model, perform high quality due diligence on the payments for the given portfolio/s

• Conceptualize, Design & Develop Dashboards via Excel Automation, Multi layered Excel equations, Charts, Pivots etc

• Ensure strict adherence of control and compliance and related policies

• Work with quality assurance managers to coordinate system and user acceptance testing activity

• Individual must be able to operate independently and must have a go getter attitude.

• Individual would be responsible for validating / supporting Team Lead in ensuring adherence to guidelines across team.

• Ability to implement logical mindset by converting Business language to logical workflow.

• Support all internal & external incentive-based audits for the markets under scope.

• Partner with multiple teams including, but not restricted to, Incentive Design & Governance, Operational Performance Management, Incentive Plus Teams to identify and implement opportunities that further enhance the effectiveness Incentive programs, ensuring alignment with evolving business strategic priorities.

• Strong communication skills, both written and verbal is mandatory.

• Identify opportunities to automate manual operational processes using Python, SQL, Generative AI and workflow automation tools. 

• Design and develop AI-powered solutions leveraging Large Language Models (LLMs) for reporting, documentation, knowledge management, and business process optimization. 

• Develop intelligent dashboards integrating business data with AI-generated insights. 

• Partner with business stakeholders to identify high-impact AI use cases and implement scalable solutions. 

• Create prompts, AI agents, and copilots to improve operational productivity.

• AI & Automation Responsibilities

• Evaluate emerging AI technologies and recommend innovative solutions aligned with business priorities

• 3- 5 years of experience in the compensation process and business rules (ramifications of exceptions), handling large scale complex business process, Proven ability to align data needs to business strategies.
  Key Skills

• Bachelor’s degree or equivalent combination of education and work experience.

• Outstanding written & verbal communication skills in English.

• Excel Automation, Multi layered Excel equations, Charts, Pivots etc.

• Analytical and problem-solving skills with strength in accuracy & attention to detail in a high output & speed environment.

• Reporting tools utilization to create/generate/maintain simple/complex reports.

• Experience with Generative AI platforms such as ChatGPT, Azure OpenAI, Microsoft Copilot, Gemini, Claude or equivalent enterprise AI platforms. 

• Working knowledge of Large Language Models (LLMs), Prompt Engineering, Retrieval Augmented Generation (RAG), AI Agents and AI-assisted workflows. 

• Strong SQL skills for querying and manipulating enterprise datasets. 

• Experience using Power BI or Tableau for dashboard development. 

• Experience with APIs and automation frameworks is desirable.