Product Manager, Data Monetization

Worldpay

full-time

Posted on: 8/26/2025

Location: Ohio • 🇺🇸 United States

✨ AI Apply

💰 $127,500 - $214,200 per year

Mid-LevelSenior

GoSQL

About the role

Lead and evolve core data capabilities including Merchant Mapping, Entity Resolution, Data Taxonomy Optimization, Transaction Verification, Data Normalization and Maintenance, Data Integration & Enrichment.
Design and manage processes for linking internal data to external identifiers and tools such as NAICS codes, DUNS IDs, etc.
Evaluate and integrate new data sources, including expansion into additional geographies and data domains.
Lead benchmarking efforts to assess data quality, coverage, and performance against industry standards.
Partner with other Product Managers and Technical Product Owner to identify, prioritize, and build data capabilities that enable new product development.
Partner with stakeholders in other areas and initiatives across the enterprise to support key initiatives such as Master Data Management.
Lead external partnerships that support data enrichment, normalization, and capability expansion.
Prepare and present product plans, manage project inventory during budget planning, monitor product P&L, collaborate with senior management, complete business scope documents, and manage vendor relationships.
May require up to 25% travel.
Not a role that provides or transfers sponsorship.

General business skills, industry knowledge, financial management and planning skills, long-term vision and executive presence.
Knowledge of financial services industry and associated products.
Bachelor’s degree in business or marketing or the equivalent combination of education, training, or work experience.
Proven experience in product management, data strategy, or data operations roles.
Strong understanding of data architecture, data governance, and data quality principles.
Experience with data mapping, taxonomy design, and entity resolution techniques.
Familiarity with industry data standards and identifiers (e.g., NAICS, DUNS, etc)
Excellent project management and stakeholder engagement skills.
Ability to translate complex data concepts into actionable business strategies.
Strong understanding of agile methodologies and practices.
Experience in financial services, commerce, or data-driven product environments.
Familiarity with data privacy and compliance frameworks.
Technical proficiency in data tools and platforms (e.g., SQL, data catalogs, MDM tools).