Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Senior Product Manager, Data & AI – Marketing & Loyalty
What does a successful Senior Product Manager, Data & AI – Marketing & Loyalty do at Fiserv?
The Senior Product Manager, Data & AI – Marketing & Loyalty is an end-to-end product leader responsible for defining, building, and commercializing products that combine Fiserv's transaction data, customer and identity signals, analytics, and artificial intelligence. This role will develop capabilities that help clients recognize and understand customers, create more relevant audiences and offers, personalize engagement, and measure incremental outcomes.
This role owns the product lifecycle from customer discovery and strategy through requirements, development, validation, commercialization, adoption, and optimization. Working directly with merchants, financial institutions, partners, and commercial teams, the product manager will identify high-value problems, validate concepts, and turn customer learning into scalable products with measurable client and business value.
What you will do:
Own product strategy and capability roadmaps. Define the vision, target customers, use cases, differentiation, business model, success measures, and roadmap for data- and AI-powered marketing and loyalty capabilities.
Advance customer intelligence and loyalty offerings. Develop and scale products that use transaction data, first-party customer data, and identity signals to improve customer recognition, audience creation, loyalty engagement, offer relevance, personalization, and marketing measurement. Translate these capabilities into measurable client and business outcomes.
Lead customer and market discovery. Engage directly with merchants, financial institutions, partners, prospects, Sales, and client-facing teams to uncover unmet needs and identify opportunities for new features, functionality, and platform enhancements that improve client outcomes and drive business growth. Translate client requirements and customer-specific insights into scalable, repeatable product capabilities rather than one-off solutions.
Apply AI where it creates measurable value. Identify where predictive models, recommendations, generative AI, and agents can improve marketer and customer experiences. Define how outputs will be evaluated, understand failure modes and data requirements, prototype concepts, and convert successful experiments into scalable product functionality.
Own identity and data requirements. Define how first-party, transaction, identity, audience, and partner data are onboarded, matched, enriched, governed, and activated across online and offline channels. Establish requirements for deterministic and probabilistic matching, coverage, match quality, data lineage, privacy-safe activation, identifier withdrawal, consent, regulatory compliance, and responsible data use.
Validate concepts before scaling investment. Use customer interviews, data analysis, prototypes, pilots, actual product usage, and predefined success criteria to test product hypotheses early and determine which capabilities clients value. Make evidence-based decisions to advance, change, stop, or retire initiatives, and maintain scope discipline when proposed features do not demonstrate sufficient customer value, product performance, or commercial potential.
Drive product development and delivery. Own capabilities from problem definition through post-launch performance, including the business case, written decisions,…