Senior Analyst-Product Management (GEN AI)

The AIM (Analytics, Investment & Marketing Enablement) team – a part of Global Commercial Service (GCS) Marketing – is the analytical engine that enables the GCS business portfolio of American Express. Accelerating growth momentum, increasing profitability, and strengthening our value proposition are key objectives for this organization. The team delivers consultative and innovative analytical solutions that power profitable business growth across GCS Marketing.

• Build a comprehensive understanding of the organization’s current targeting and modeling landscape across all business segments. Identify capability gaps, future needs, and integration opportunities, and translate these into clear product and technical requirements for platform and engineering teams.
• Shape the product and capability roadmap by working closely with Marketing, Product, Analytics, Modelling, Data Engineering, and other key partners. Drive alignment on strategic priorities, use-cases, and delivery milestones, ensuring the roadmap reflects both near-term business value and long-term capability evolution.
• Ensure continuity and protection of existing targeting objectives and performance KPIs during capability or platform transitions. Define validation criteria, performance safeguards, and migration frameworks to maintain business impact while enabling modernization.
• Cultivate strong cross-functional partnerships across business units, acting as a connector to bring teams together around shared goals. Facilitate decision-making, resolve ambiguity, and ensure effective execution across diverse stakeholders.
• Provide structured, proactive updates to senior leadership, including key decisions, trade-offs, risks, and alignment needs. Represent the end-to-end capability vision and ensure leadership is informed and aligned ahead of critical milestones.

Minimum Qualifications

• Experience in product analytics, data-driven product roles, marketing analytics, or related domains.
• Strong analytical and structured problem-solving skills, with the ability to translate business problems into actionable product solutions.
• Advanced SQL experience working with large datasets in big data or cloud-native environments.
• Understanding of data pipelines, models, and activation systems at a conceptual level.
• Familiarity with Agile/Scrum methodologies and contributing to backlog refinement and sprint execution.
• Strong written and verbal communication skills, with the ability to present insights and recommendations to diverse stakeholders.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Experience working with Adobe marketing ecosystem tools (e.g., AEP, AJO, AEM, Workfront, Naehas)

Preferred Qualifications

• Familiarity with handling and analyzing large datasets in data-driven environments
• Experience with Python or other relevant analytical/programming tools in a data-driven environment.