Product Manager, Data Platform
Listed on 2026-05-18
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IT/Tech
Data Analyst, Data Engineer, Business Systems/ Tech Analyst, Data Security
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.
We’re looking for a Product Manager with strong experience in data platforms and integrations to support internal systems s role is focused on customer, marketing, and e-commerce data, with ownership of the end-to-end delivery of data pipelines and integrations into our infrastructure and downstream analytics tools.
What Your Impact Will Be- Own the roadmap for marketing and e-commerce data capabilities across ingestion, transformation, warehousing, and delivery to reporting and activation tools.
- Lead buildout and ongoing improvement of our data foundation for marketing and e-commerce data, including source onboarding, modeling, and dataset readiness for reporting and teams.
- Drive integration work end-to-end: define requirements, partner with engineering, coordinate with vendors/agencies, manage delivery, and handle rollout and support.
- Plan and deliver the sunset of legacy data warehouse solutions, including migration strategy and stakeholder cutover planning.
- Own data QA and reliability:
- Define data quality checks (completeness, accuracy, freshness, schema changes).
- Partner with QA/engineering on automated tests and validation processes.
- Set and manage SLAs for key datasets and pipelines.
- Put monitoring in place for pipelines and integrations:
- Define what we monitor (pipeline health, volume anomalies, latency, failures).
- Set up alerting, triage flows, and clear ownership for fixes.
- Track issues, manage incident follow-ups, and prevent repeats.
- Translate business needs into clear data requirements and technical work:
- Define metrics, data definitions, and dataset contracts needed for marketing and e-commerce reporting.
- Ensure consistent outputs across sources (web analytics, media platforms, e-comm platforms, CRM/CDP, agencies).
- Coordinate across teams (Insights, Engineering, QA, Marketing, Agencies, Platforms) to plan releases, manage dependencies, and keep delivery moving.
- Communicate status and tradeoffs clearly to leadership and stakeholders.
- Data warehousing and integration concepts (modeling, ELT/ETL, DAGs).
- Databases and analytics/reporting patterns.
- Data tests, validation workflows, anomaly detection, alerting, incident response.
- SQL (strong) and/or Python (basic to intermediate).
- Google Cloud experience (preferred).
- Familiarity with tools/patterns for orchestration, observability, and data QA (any equivalents).
- Working knowledge of privacy/security expectations for customer data (baseline handling, access controls, audit needs).
Pay range:
The pay range is indicative of projected hiring range, however base pay will be determined based on a candidate’s 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.
Don’t meet every single requirement? At Mattel, we are dedicated to an…
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