Technical Product Manager - Asset Data, Tech, And Governance

Mattel - El Segundo
new offer (01/07/2024)

job description

Job Description
The Opportunity:
This role exists to develop and refine IMC technology, data governance processes and taxonomy throughout asset creation, production and distribution, and media deployment processes, workflows, tools, and tracking of assets for commercialization to Mattel and external stakeholders. Tools include workflow management, Digital Asset Management (DAM), visualization and dashboards and data governance.
We are looking for an experienced Product Manager specializing in Asset technology, Data and Analytics. The Product Manager will be responsible for planning and executing the roadmap for Mattel Asset and Marketing Communications technology, data and analytics. The ideal candidate will have a deep understanding of data technologies, data governance and taxonomy practices and processes, and a proven track record of managing complex data and data product end-to-end lifecycles.
What Your Impact Will Be:
Work with business and technical stakeholders to define and execute the roadmap for asset-focused marketing technology, data, products and tools including reporting dashboards and enterprise data integrations
Own technology, data and taxonomy change request requirements gathering, prioritization and release roadmap.
Collaborate with internal and external stakeholders to define and execute the roadmap for marketing data, governance, tools and integrations including reporting dashboards.
Establish and manage a data governance program, including data quality and availability
Analyze market trends, competitive analysis, and stakeholder feedback to inform partner identification.
Work with Mattel’s data architecture teams to ensure that system designs deliver business requirements.
Act as asset data source and quality steward
Own and govern enterprise asset and related metadata, taxonomies and evolutions.
Identify business KPIs and metrics, and drive reporting and dashboarding across the organization
Ensure all data products and integrations align with the company's strategy and goals.
Drive enterprise efficiencies by consolidating requirements across business units.
Lead cross-functional teams to deliver quality products on time and within budget.
Foster strong relationships with key external partners and vendors.
Communicate product vision and progress to leadership.
Ensure products comply with laws and industry standards, including data privacy and security.

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