Delivery Manager - ED&A

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 Opportunity

We are seeking a Delivery Manager – Enterprise Data & Analytics (ED&A) to lead technical delivery and execution of large-scale data integration and analytics initiatives. This leadership role combines hands-on technical oversight with team management and delivery accountability.

The ideal candidate brings deep experience in cloud-native data platforms, a strong foundation in data architecture, and the ability to lead high-performing engineering teams. You will play a critical role in defining scalable data solutions, managing end-to-end delivery cycles, and fostering technical excellence across Mattel’s ED&A organization.

What Your Impact Will Be:

• Lead and manage the data engineering team to deliver high-quality data solutions.
• Own project portfolios, budgets, and delivery roadmaps—optimizing resource allocation, timelines, and risk mitigation across concurrent initiatives
• Partner with Enterprise Architecture to define global data strategy, standards, and reference architectures (data models, pipelines, metadata, data catalogues, quality) for the projects.
• Ensure the successful execution of large-scale data engineering projects, meeting deadlines and budget requirements.
• Manage data migration and transformation efforts as part of platform modernization and simplification and business transformation programs.
• Oversee development of analytics capabilities, dashboards, self-serve reporting, and AI/ML-enabled data products that drive business outcomes.
• Provide mentorship and guidance to team members, fostering their professional growth and development.
• Present data architecture, roadmap, plans, status, and risk to various stakeholders including leadership management.
• Stay up to date with the latest trends and technologies in data engineering and apply them to improve our data infrastructure.
• Innovation: Stay current with industry trends and emerging technologies, evaluating their potential impact on the data platform and recommending adoption where appropriate.
• Support AI: Support the implementation of AI-powered data and analytics solutions through cutting edge tool stack availability and data democratization to enable advanced insights
• Partner with data governance and quality teams to ensure consistent implementation of lineage, metadata, and quality standards.
• Work closely with the ED&A Sr. Manager or Tower lead.