Senior Associate-Digital Product Management

The Senior Associate Product Owner works with product managers and product directors to design solutions and strategies using ratified data sources, predictive and generative AI models, data visualization and UI development for American Express Global Financial Grimes Compliance. The role collaborates with partners within Global Risk and Compliance (GRC), Financial Crimes Investigations, Data Science, and Technologies to create world-class analytical and  investigative capabilities that manage risk and improve customer experience in the are of regulatory compliance.

Responsibilities

• Lead user story definition and grooming sessions
• Identify product solutions for short term tactical needs and long-term strategy
• Establish acceptance criteria, test strategy, and write user acceptance test cases
• Lead scrum scope prioritization sessions and backlog grooming
• Maintain open communication channels with stakeholders, business partners, and technology partners. 
• Support governance & control processes for assigned product(s)
• Seek and apply product feedback
• Partner with Product Managers contributing to scope of product and capabilities

Minimum Qualifications

• 2+ years Product Owner and/or Data Management in building and launching digital products
• Bachelor’s or master’s degree computer science, mathematics, statistics, or relevant business or criminal sciences degree
• Proven Track record of Product lifecycle Management, with specific application of Scaled Agile delivery. 
• Ability to think abstractly and deal with ambiguous/under-defined problems 
• Good understanding of iterative development, and Agile principles
• Ability to adjust quickly to shifting priorities, multiple demands, ambiguity, and change
• Excellent interpersonal skills with a focus to engage, influence, align and encourage partners and business partners across geographies to drive collaboration and alignment
• Focus on understanding sophisticated business problem and analyze complex data to provide a simplified solution to business partners. 

 

Preferred Qualifications

• Financial Crimes business experience and related solution acumen
• Experience in Machine Learning model development and deployment into a production environment
• Experience in Generative AI, prompt engineering concepts, and implementation of GENAI production use cases and governance activities
• Experience working in low code/no-code environments
• Ability to evaluate product performance, define KPIs and monitor outcomes
• Experience in evaluating data quality, performing data governance or implementing reporting tools 

 

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