Senior Manager, Product Management for Advanced Targeting Capabilities

Job Description

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.

Responsibilities

• 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.
  
  

Qualifications

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.

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• 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 engagement platforms.
• Familiarity with experimentation frameworks (A/B testing, uplift modeling, causal inference techniques).
• Master’s degree in a relevant technical field.
  
  

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

About Us

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

About The Team

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries

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• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities
  
  

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.