Product Manager - CDP and Consumer MDM

Job title: Product Manager - CDP and Consumer MDM

About the Role The Product Manager will drive the integration and adoption of a new consumer MDM solution and help manage Mattel’s consumer CDP capabilities. This role owns how consumer identity and profile data comes together across business units and touchpoints, how we use MDM as an operational layer that serves trusted consumer data to downstream systems, and how CDP connections and outbound activations support marketing, CRM, analytics, and consumer engagement use cases. You’ll join a small, tech-focused team inside a large company.

What You'll Do

• Own the roadmap for the consumer MDM rollout, including integration sequencing, data onboarding, and adoption across business units.
• Help manage the CDP roadmap and operating model, including audience activation, outbound connections, platform integrations, and data flow reliability.
• Define the product scope for MDM as both: A system of record for consumer identity and profile data; An operational layer that serves mastered data to edge systems, including CDP/CRM, e-commerce platforms, marketing tools, customer service, and analytics.
• Define how MDM and CDP work together across consumer identity, profile enrichment, consent, preferences, audience building, and activation.
• Lead end-to-end delivery of source system integrations into the MDM and CDP, including requirements, mapping, testing, cutover, and support.
• Manage outbound CDP activations and connections to downstream platforms, including marketing channels, CRM tools, analytics platforms, and consumer engagement systems.
• Define the core MDM concepts and rules we need to operate successfully: identity resolution and matching rules; survivorship rules and attribute precedence; golden record structure and profile completeness; hierarchy/relationships where relevant, such as households, accounts, and identities; metadata and data lineage needed for trust and troubleshooting.
• Drive alignment across business units on shared consumer definitions, required attributes, audience use cases, activation needs, and operational data requirements.
• Own data quality and reliability for MDM and CDP data flows: define tests and monitoring for match rates, duplicates, completeness, latency, and activation delivery.
• Manage issue triage and incident follow-ups; partner with engineering and QA to automate testing.
• Set integration contracts for edge systems: data schemas, SLAs, and change management; access patterns including APIs, event streams, batch feeds, and CDP connectors.
• Manage vendor and partner work where applicable, and keep delivery moving across teams, including Engineering, QA, Marketing, Insights, Platforms, Privacy/Security, and external platform partners.
• Communicate status, risks, and tradeoffs to leadership and stakeholders.

What We're Looking For

• Bachelor’s degree in any field.
• 5+ years as a Product Manager, or similar role, working on data platforms, integrations, CDP, marketing technology, CRM, or analytics products.
• 7+ years overall experience preferred.
• Direct, hands-on CDP experience delivering, managing, or operating CDP capabilities, including audience creation, outbound activations, platform connections, and downstream data flows. This is a must-have.
• Experience working with customer or consumer data across multiple business units, systems, and touchpoints.
• Strong understanding of CDP concepts and operating needs: Audience segmentation and activation; Source and destination connections; Marketing and CRM data flows; Identity, consent, and preference signals; Data quality, latency, and activation monitoring.
• MDM experience is strongly preferred, but not required.
• Strong understanding of what makes MDM work across multiple business units and touchpoints: Source system onboarding patterns; Operating model basics, including who owns what and how changes get made; Managing conflicting definitions and priorities.
• Experience with identity resolution concepts, such as: Match/merge strategies; Survivorship and attribute precedence; Duplicate detection and remediation workflows.
• Experience using consumer data platforms, MDM, or related data products as operational data layers to serve trusted consumer data to edge systems through APIs, events, connectors, and batch feeds.
• Proven ability to work with engineering and QA teams through delivery, including requirements, scope, prioritization, release planning, testing, and launch support.
• Strong communication skills, including writing clear requirements and running cross-team delivery. Nice-to-haves: SQL

Nice to Have

• SQL

Compensation & Benefits

• Salary range: USD 126,000 - 150,000 yearly. The pay range is indicative of projected hiring range; base pay will be determined based on work location, skills and experience. Mattel offers competitive total pay programs, comprehensive benefits, and resources to help empower a culture where every employee can reach their full potential.