Senior Manager - Advanced Targeting Capabilities

American Express•New York, NY

10d

About The Position

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 this 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. 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, Advanced Targeting Capabilities, you will lead the strategy and execution of enterprise data and AI-enabled targeting platforms that support marketing and sales campaign enablement. You will define scalable product solutions that integrate data pipelines, models, and workflow capabilities, ensuring high performance, governance, and extensibility. You will operate at the intersection of business, data science, and technology — translating complex requirements into AI-enabled product capabilities and partnering closely with Engineering and Data Science teams to deliver resilient, modern, and future-ready platforms. How will you make an impact in this role?

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, or a related field.
6+ years of experience in technical product management supporting data platforms, targeting systems, AI/ML-enabled products, or marketing/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 big data or cloud-native environments.
Experience partnering with Data Science teams to operationalize models 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.

Nice To Haves

Experience with model deployment pipelines, MLOps frameworks, decisioning engines, or real-time decisioning systems.
Experience building AI-enabled products leveraging RAG architectures, fine-tuned LLMs, or generative AI workflows.
Exposure to distributed data processing frameworks (e.g., Spark or similar).
Experience with GCP cloud platform.
Experience working with Adobe marketing ecosystem tools (e.g., AEP, AJO, AEM, Workfront, Naehas).
Familiarity with experimentation frameworks (A/B testing, uplift modeling, causal inference techniques).
Master’s degree in a relevant technical field.

Responsibilities

Own the end-to-end product lifecycle for targeting, data, and AI capabilities, from vision and roadmap through delivery, deployment, monitoring, adoption, and optimization.
Define scalable product architectures and integration patterns enabling seamless data ingestion, feature engineering, model deployment, and campaign workflow support 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, MLOps enablement, model deployment automation, drift monitoring, and workflow optimization within big data or cloud-native 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.

Benefits

Competitive base salaries
Bonus incentives
6%25 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