Mattel
toy and family entertainment
ManagerIT-ED&A
Neural analysis suggests this role is
optimal for mid candidates.
“Manager IT - ED&A at Mattel. Skills: data platforms, cloud services, data integration, analytics. Integrate data from enterprise systems. Build and optimize data warehouse”
What You'll Achieve.
enables data-driven decision-making; deliver high-quality data solutions; drive business outcomes; fostering their professional growth and development; enable advanced insights
Industry & Context.
What They're Looking For.
Must Have
data platforms, cloud services, big data technologies, data warehousing, ETL/ELT, data integration, analytics tools, Computer Science, Data Engineering, Information Systems
Nice to Have
Retail, Media, Consumer Products, AI/ML, LLMs, agentic AI system design
What You'll Do.
Integrate data from enterprise systems
Build and optimize data warehouse
Build robust ETL/ELT pipelines
Deliver curated datasets
Enforce data quality standards
Leverage orchestration tools
Collaborate with cross-functional teams
Lead and manage data engineering team
Own project portfolios
Partner with Enterprise Architecture
Ensure successful execution of projects
Manage data migration efforts
Oversee development of analytics capabilities
Provide mentorship and guidance
Present data architecture
Stay up to date with trends
Evaluate emerging technologies
Support AI implementation
Partner with governance teams
How You'll Work.
Team & Collaboration
Collaborating with cross-functional teams including data analysts, product owners, and BI developers; Partner with Enterprise Architecture; Partner with data governance and quality teams; Work closely with the ED&A Sr. Manager or Tower lead; We collaborate: Being a part of Mattel means being part of one team with shared values and common goals.; Partnership is our process and our collective capabilities is our superpower.
Communication Scope
Excellent communication; negotiation; relationship-building skills at all organizational levels; Present data architecture, roadmap, plans, status, and risk to various stakeholders including leadership management.
Process & Methodology
Own project portfolios, budgets, delivery roadmaps, optimizing resource allocation, timelines, risk mitigation, managing end-to-end delivery cycles, meeting deadlines, budget requirements
Full Job 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. The Team As part of the Global Technology Organization, the Enterprise Data & Analytics (ED&A) team enables data-driven decision-making across all Mattel business units. We design and manage cloud-native data platforms, build scalable data pipelines, and deliver curated datasets that power analytics, business intelligence, and machine learning initiatives. Delivery Manager – ED &A Delivery Lead ENTERPRISE DATA & ANALYTICS Our ED&A Delivery function ensures high-quality and timely execution of strategic data programs across the enterprise. Key responsibilities include: * Integrating data from diverse enterprise systems such as ERP, E-commerce, Order Management, CRM, and operational platforms into a centralized cloud-based data warehouse. * Building and optimizing the data warehouse platform to support enterprise-wide self-service analytics. * Building robust ETL/ELT pipelines that automate data ingestion, transformation, and delivery using modern frameworks. * Delivering curated, business-ready datasets to support self-service analytics and strategic decision-making. * Enforcing data quality, testing, and governance standards across the data ecosystem. * Leveraging orchestration tools like Airflow or Cloud Composer for reliable pipeline scheduling and execution. * Collaborating with cross-functional teams including data analysts, product owners, and BI developers to align solutions with business objectives. The Opport
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