Sr Manager-Product Management

American Express Global Commercial Services (GCS) is the leading payments provider for businesses and corporations of all sizes, with small business being the largest customer segment.

The Global Commercial Services Marketing team (GCSM) makes business membership essential by creating and delivering world-class marketing that drives demand, deepens engagement, and showcases the value of our differentiated products and services. Our portfolio includes charge, lending, co-brand, and corporate cards, along with a suite of small business banking and B2B solutions.

As a Senior Manager- Product Management for Advanced Targeting Capabilities, you will help shape the future of AI-driven marketing and sales targeting across one of the world’s leading commercial payments organizations. You will lead the strategy and execution of enterprise targeting, decisioning, and data-driven capabilities that power personalized engagement at scale across millions of business customers globally.

You will operate at the intersection of business, data science, and technology—translating complex requirements into scalable product capabilities and partnering closely with Engineering and Data Science teams to deliver resilient, modern, and future-ready platforms. This role offers the opportunity to influence the next generation of AI-enabled marketing and sales capabilities while driving meaningful business growth and customer impact.

• Own the end-to-end product lifecycle for targeting, decisioning, data, and AI-enabled capabilities, from vision and roadmap through delivery, deployment, monitoring, adoption, and optimization.
• Define scalable product capabilities and integration patterns that enable seamless data ingestion, model deployment, campaign orchestration, and personalized targeting across marketing and sales platforms.
• Translate business and analytical requirements into clear product specifications, technical requirements, APIs, model integration frameworks, and targeting/campaign workflow designs.
• Partner closely with Marketing, Sales, Analytics, Data Science, Engineering, and Architecture teams to prioritize backlog, manage technical trade-offs, and ensure high-quality platform delivery.
• Lead modernization initiatives, including platform enhancements, workflow automation, model operationalization, monitoring, and cloud-based enablement within big data environments.
• Establish and monitor product KPIs, model performance metrics (e.g., lift, accuracy, latency, drift), and reliability standards to ensure targeting and campaign objectives are protected during system changes or migrations.
• Drive governance requirements for data usage, model lifecycle management, responsible AI practices, and enterprise compliance standards.
• Serve as the technical liaison across business, Analytics, Data Science, and Technology, facilitating alignment and accelerating data-driven decision-making.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, or a related field.
• 7+ years of experience in technical product management supporting data platforms, targeting systems, AI/ML-enabled products, or marketing and sales enablement capabilities.
• Strong understanding of Artificial Intelligence (AI), machine learning concepts, data architecture, APIs, system integrations, and platform design principles.
• Advanced SQL skills and working knowledge of Python or similar programming languages used in analytics or AI workflows.
• Experience working with large-scale datasets in cloud-based or big data environments.
• Experience partnering with Data Science and Engineering teams to operationalize models and analytics solutions into production environments.
• Experience in Agile/Scrum environments managing technical backlogs and cross-functional delivery.
• Demonstrated ability to translate business needs into technical and AI-enabled product requirements.
• Excellent presentation skills with the ability to convey complex ideas with clarity and impact.
• Strong analytical, problem-solving, and stakeholder management skills.

Preferred Qualification

• Experience with model deployment pipelines, MLOps frameworks, decisioning engines, or real-time decisioning systems.
• Experience building AI-enabled products leveraging generative AI, retrieval-augmented generation (RAG) architectures, LLM-powered workflows, or related emerging AI capabilities.
• Experience with cloud platforms such as GCP
• Exposure to distributed data processing frameworks (e.g., Spark or similar).
• Experience with enterprise marketing technology ecosystems such as Adobe Experience Platform (AEP), Adobe Journey Optimizer (AJO), AEM, Workfront, Naehas, or related customer e