Senior Product Manager, Data & AI – Marketing & Loyalty

Calling all innovators - find your future at Fiserv.

Were 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 were involved. If you want to make an impact on a global scale come make a difference at Fiserv.

Job Title

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 Fiservs 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 requirements Engineering builds from scope and tradeoffs release sequencing and client validation. Partner across Engineering Data Science Analytics Design Legal Privacy and Operations to manage dependencies and risks evaluate usage and decide whether to optimize expand or retire capabilities.
• Build measurable and trustworthy data products. Define business and product evaluation frameworks for model quality offer relevance engagement incrementality adoption and client value. Partner with data and identity teams to incorporate quality coverage and match-performance measures and ensure privacy governance explainability monitoring and appropriate human controls are built in by design.
• Own commercialization launch and adoption. Partner with Business Development Sales Marketing and Solutions Consulting on positioning packaging pricing enablement client evaluations pilots and adoption strategies. Select the clients best suited for early releases define the test and evidence required to close each milestone report results transparently and use adoption usage and commercial feedback to continuously improve the roadmap.
• Build for an AI-first ecosystem. Define reusable product capabilities data products APIs and workflows that can support human users client applications and AI-driven experiences. Establish predictable interfaces documented inputs and outputs access controls and actionable responses so capabilities can be integrated consistently across products and channels.

What you will need to have

• Bachelors degree or equivalent relevant work experience.
• 6 years of product management experience including direct experience building and releasing products in marketing technology loyalty offers personalization customer data identity resolution audience solutions clean rooms or marketing measurement.
• Experience owning a product or significant product capability from customer problem and market opportunity through requirements development launch commercialization adoption and optimization.
• Experience conducting direct customer discovery and translating individual customer needs into scalable market-relevant product capabilities.
• Strong understanding of online and offline customer identity data including deterministic and probabilistic matching first-party data onboarding audience creation privacy-safe activation across channels identifier withdrawal and the consent and regulatory constraints governing identity data.
• Strong data fluency with the ability to independently evaluate customer transaction identity audience and campaign data; assess coverage and match quality; and use evidence to make product decisions.
• Practical experience applying AI or machine learning within a product including defining use cases evaluation criteria data requirements risks and measurable outcomes.
• Strong commercial judgment and experience supporting product positioning pricing or packaging sales enablement pilots launches and adoption.
• Understanding of payments merchant acquiring financial institutions and the role of transaction data in consumer marketing and loyalty.
• Experience partnering across Engineering Data Science Analytics Design Privacy/Legal Sales Business Development and other client-facing teams.
• Excellent written and verbal communication skills with demonstrated ability to produce requirements and decision documents that clearly define the customer problem decision taken scope and exclusions tradeoffs release criteria and measures of success and to communicate those decisions to technical commercial and executive audiences.

What would be great to have

• Experience with card-linked or merchant-funded offers loyalty platforms retail media customer data platforms identity or onboarding providers clean rooms demand- or supply-side platforms marketing decisioning or measurement solutions.
• Experience applying transaction data to customer recognition audience development personalization loyalty engagement offer optimization or marketing measurement.
• Experience using modern cloud data platforms to explore large datasets validate product hypotheses assess data quality and support product decisions; experience with Snowflake or Databricks is preferred.
• Experience with experimentation attribution incrementality measurement recommendations propensity models next-best action or offer optimization.
• Experience building or distributing B2B data SaaS API marketplace or data-as-a-service products.
• Experience prototyping product concepts with current AI tools and designing capabilities that can be consumed by AI agents or machine-driven workflows.

Salary Range

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individuals status as a veteran.

Thank you for considering employment with Fiserv. Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin gender gender identity sexual orientation age disability protected veteran status or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process please contact. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiservs Disability Accommodation Policy for additional information.

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