Product Manager, Consumer MDM

Company Description

CREATIVITY IS OUR SUPERPOWER. It's our heritage and it's also our future. Because we don't just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard-when everyone can show up as themselves and do their best work every day.

We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.

Job Description

The Opportunity:

We're looking for a Product Manager to drive the integration and adoption of a new consumer MDM solution s role owns how consumer identity and profile data comes together across business units and touchpoints, and how we use MDM as an operational layer that serves trusted consumer data to downstream systems.

You'll join a small, tech-focused team inside a large company.

What Your Impact Will Be:

* Own the roadmap for the consumer MDM rollout, including integration sequencing, data onboarding, and adoption across business units.

* Define the product scope for MDM as both:

* a system of record for consumer identity and profile data, and

* an operational layer that serves mastered data to edge systems (CDP/CRM, e-commerce platforms, marketing tools, customer service, analytics).

* Lead end-to-end delivery of source system integrations into the MDM (batch + real-time where needed), including requirements, mapping, testing, cutover, and support.

* 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 (households, accounts, identities)

* metadata and data lineage needed for trust and troubleshooting

* Drive alignment across business units on shared consumer definitions, required attributes, and operational use cases.

* Own data quality and reliability for the MDM:

* define tests and monitoring for match rates, duplicates, completeness, and latency

* 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 (APIs, event streams, batch feeds) based on system needs

* Manage vendor and partner work where applicable, and keep delivery moving across teams (Engineering, QA, Marketing, Insights, Platforms, Privacy/Security).

* Communicate status, risks, and tradeoffs to leadership and stakeholders.

Qualifications

What We're Looking For:

* Bachelor's degree in Computer Science, Information Systems, Business, Analytics, or related field (Master's/MBA a plus).

* 5+ years as a Product Manager (or similar) working on data platforms, integrations, or analytics products (7+ years overall).

* Direct, hands-on MDM experience delivering and operating an MDM program, ideally for consumer/customer identity data. This is a "must-have".

* Strong understanding of what makes MDM work across multiple business units and touchpoints:

* source system onboarding patterns

* operating model basics (who owns what, how changes get made)

* managing conflicting definitions and priorities

* Experience building and tuning identity resolution:

* match/merge strategies

* survivorship and attribute precedence

* duplicate detection and remediation workflows

* Experience using MDM as an operational data layer to serve mastered consumer data to edge systems through APIs, events, and batch feeds.

* Proven ability to work with engineering and QA teams through delivery (requirements, scope, prioritization, release planning).

* Strong communication skills, including writing clear requirements and running cross-team delivery.

Nice-to-haves

* SQL (strong) and/or Python (basic to intermediate).

* Experience with cloud platforms (Google Cloud preferred).

* Experience with CDP/CRM and identity ecosystems (consent, preferences, marketing activation flows).

* Familiarity with privacy/security expectations for consumer data (access controls, auditing,…