below marketmost similar roles pay hereabove market
This role pays less than
64%
of similar roles. Most pay
$177,250–$223,962
— the blue band above.
At the midpoint, this role pays about
$181k
versus about
$201k
for comparable roles.
Based on 240 similar postings.
Employer
About Fiserv
Fiserv is a global leader in financial services technology, providing core banking platforms, payment processing, digital banking, and merchant acquiring solutions to financial institutions and businesses. Industry: Financial Technology & Payments
Fiserv currently has
117 open roles
on FindRole.
Listed pay typically runs
$123,500–$193,800
across 85 roles with salary data.
The Senior Product Manager, Data & AI – Marketing & Loyalty serves as an end-to-end product leader responsible for defining, building, and commercializing products that integrate transaction data, customer identity signals, analytics, and artificial intelligence. Working within the marketing and loyalty space, you will develop capabilities to help clients recognize customers, create relevant audiences, and personalize engagement. You will own the full product lifecycle, from customer discovery and strategy through requirements, development, validation, and commercialization. Key responsibilities include managing capability roadmaps, identifying high-value problems, and applying predictive models, generative AI, and agents to improve marketer experiences. You must demonstrate proficiency in identity resolution, first-party data onboarding, and privacy-safe activation. The role requires expertise in marketing technology, loyalty platforms, and using cloud data platforms like Snowflake or Databricks.
What does a Product Manager earn?
Median $199125 from 772 postings across 95 companies.
Define the vision, business model, and roadmap for data- and AI-powered marketing and loyalty capabilities.
Develop products that use transaction data and identity signals to improve customer recognition and personalization.
Conduct direct market discovery with merchants and financial institutions to identify unmet needs and scalable product opportunities.
Identify and prototype AI use cases, including predictive models and generative AI, to create measurable value for marketers.
Define requirements for onboarding, matching, and governing first-party and transaction data across online and offline channels.
Validate product hypotheses through customer interviews, data analysis, and pilots before committing to large-scale investment.
Manage the full product lifecycle from problem definition and requirements engineering to post-launch performance and optimization.
Partner with sales and marketing teams to lead product positioning, pricing, packaging, and commercial adoption strategies.
What we're looking for
Bachelor's degree or equivalent relevant work experience.
6+ years of product management experience in marketing technology, loyalty, personalization, customer data, or identity resolution.
Experience owning a product lifecycle from customer discovery and requirements through development, launch, and commercialization.
Experience conducting direct customer discovery to translate individual needs into scalable, market-relevant product capabilities.
Strong understanding of customer identity data, including deterministic/probabilistic matching, first-party data onboarding, and regulatory constraints.
Strong data fluency to independently evaluate customer, transaction, and campaign data to make evidence-based product decisions.
Practical experience applying AI or machine learning within a product, including defining use cases, risks, and measurable outcomes.
Experience with card-linked offers, retail media, clean rooms, or cloud data platforms like Snowflake or Databricks (preferred).
South San Francisco, CA40 days ago
$140,300–$260,500
AI
ML
SQL
AWS
GCP
Azure
Big Data
Data Mesh
Data Fabric
Data Governance
Data Quality
Data Observability
Informatica Data Quality
Collibra
Monte Carlo
Agile
Data Lifecycle Management
FAIR Data Principles
Semantic Layer