Back
Senior Product Manager – Machine Learning & Personalization
Full-time
Amex Digital Labs' mission is to build the future of payments and membership, leveraging emerging technologies to deliver innovations that enhance how customers pay, travel, dine, and experience the brand.
As a Senior Product Manager, you will work with colleagues in the U.S. and U.K. to shape how Amex leverages AI and data to drive a more personalised and engaging user experience. Your focus will be ensuring personalisation models and platforms meet business goals and provide optimal customer experiences across multiple products, working closely with Engineering, Data Science, and Labs' Business Development & Go-to-Market teams.
Responsibilities
Define and drive the product strategy for AI-powered personalisation and recommendation capabilities across digital products.
Translate business objectives and customer needs into clear product requirements for data science, engineering and platform teams.
Partner with Data Science and Engineering to develop, test, launch and optimise personalisation models and recommendation experiences.
Monitor model and product performance, using data and experimentation to identify opportunities for improvement.
Use analytics, customer insights and business outcomes to prioritise enhancements and inform product decisions.
Ensure personalisation capabilities are scalable, measurable and aligned with customer experience, compliance and business objectives.
Communicate product vision, progress, trade-offs and results to senior stakeholders, and assess emerging AI and personalisation trends.
Minimum Qualifications
Experience as a Product Manager with leadership responsibility in a fast-paced product development environment.
Experience developing AI products using Agile principles in close partnership with engineering teams.
Hands-on experience developing machine learning models and applying AI to digital products.
Strong analytical skills, using data and experimentation to inform decisions, with competency in applied statistics.
Ability to translate business goals into product and technical requirements with Engineering and Data Science.
Proven ability to manage complex programs, with strong communication, leadership, organisational and prioritisation skills.
Preferred Qualifications
Experience with personalisation, recommendation engines, ranking systems, targeting, customer decisioning or experimentation platforms.
Familiarity with model performance metrics, A/B testing, customer segmentation and lifecycle optimisation.
Experience working in regulated industries, financial services or large-scale consumer digital platforms.
Employment eligibility to work with American Express in the UK is required, as the company will not pursue visa sponsorship for these positions.
