Enterprise Architect – AI & Intelligent Platforms
About the Role
We are seeking an Enterprise Architect – AI & Intelligent Platforms to contribute to and help evolve enterprise architecture capabilities across enterprise AI platforms, machine learning solutions, and intelligent automation capabilities. This role supports architecture strategy, reference architecture development, and roadmap execution for AI-enabled business capabilities across digital, corporate, supply chain, finance, and customer experience platforms. The role helps ensure AI solutions are built on scalable enterprise data, platform, and integration foundations. This role partners with business, engineering, data science, and senior architecture leadership to translate enterprise strategy into scalable AI platform and solution architecture approaches.
Key Responsibilities
- Contribute to enterprise architecture strategy and support roadmap execution across enterprise AI and intelligent automation platforms
- Support development and adoption of reference architectures and standards for AI platforms, ML lifecycle solutions, and AI-enabled applications
- Lead architecture design and solution alignment for assigned AI, machine learning, or intelligent automation initiatives
- Partner with senior architects, engineering teams, and data science teams to ensure consistent AI platform and solution architecture design
- Support adoption of modern AI patterns including predictive analytics, real-time decisioning, and AI-enabled business workflows
- Participate in architecture reviews and provide architecture guidance to engineering, data engineering, and data science teams
- Contribute to AI platform evaluation, vendor selection, and AI solution modernization initiatives
- Demonstrate strong ownership of architecture deliverables and continuous improvement of architecture practices
What You Bring
- Strong experience working within enterprise data, analytics, or AI-enabled platform architecture environments
- Solid understanding of enterprise data platforms, analytics solutions, and AI or ML solution integration patterns
- Experience supporting enterprise initiatives involving AI solutions, advanced analytics, or intelligent automation implementations
- Strong understanding of how AI solutions interact with enterprise applications, data platforms, and digital experiences
- Ability to operate across architecture strategy, solution design, and engineering collaboration layers
- Strong communication skills and ability to influence without formal authority
- Experience working in retail, consumer products, or customer-facing digital business environments
- Experience collaborating with global teams, offshore delivery teams, or distributed product and engineering organizations
Technical Expertise & Platform Experience
- Hands-on experience with Enterprise Architecture repository or modeling tools (e.g., LeanIX, Ardoq, or similar platforms) and contributing to architecture documentation or portfolio data
- Experience working with AI, ML, or analytics platforms and supporting model deployment, model integration, or AI solution implementations
- Experience working with enterprise data platforms and data pipelines supporting AI or analytics workloads
- Working knowledge of AI solution integration patterns including API-based model access, batch model processing, or real-time inference integrations
- Experience working with enterprise security concepts such as secure model access, identity-based access, and secure data or API interactions
- Experience participating in architecture reviews, architecture documentation, or supporting architecture governance and roadmap activities
Qualifications
- Progressive experience working across enterprise architecture, solution architecture, data platform architecture, or AI/analytics platform environments
- Demonstrated experience contributing to enterprise architecture, analytics platform, or AI solution modernization initiatives
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field (Master’s preferred)
Success in This Role
Success in this role requires strong architecture fundamentals, ownership mindset, and the ability to grow into broader enterprise architecture responsibilities while supporting AI, data, and platform transformation initiatives at scale. This role requires strong collaboration and coordination with onsite architecture leaders, global architecture teams, and distributed delivery organizations to ensure consistent architecture execution across regions and programs.
Skills Required
- Strong experience within enterprise data, analytics, or AI-enabled platform architecture environments
- Solid understanding of enterprise data platforms, analytics solutions, and AI/ML solution integration patterns
- Experience supporting enterprise initiatives involving AI solutions, advanced analytics, or intelligent automation implementations
- Understanding of how AI solutions interact with enterprise applications, data platforms, and digital experiences
- Ability to operate across architecture strategy, solution design, and engineering collaboration layers
- Strong communication skills and ability to influence without formal authority
- Experience working in retail, consumer products, or customer-facing digital business environments
- Experience collaborating with global teams, offshore delivery teams, or distributed product and engineering organizations
- Hands-on experience with Enterprise Architecture repository or modeling tools (e.g., LeanIX, Ardoq, or similar)
- Experience working with AI, ML, or analytics platforms and supporting model deployment or model integration
- Experience working with enterprise data platforms and data pipelines supporting AI or analytics workloads
- Working knowledge of AI solution integration patterns including API-based model access, batch model processing, or real-time inference
- Experience with enterprise security concepts such as secure model access, identity-based access, and secure data or API interactions
- Experience participating in architecture reviews, documentation, governance, and roadmap activities
- Progressive experience across enterprise architecture, solution architecture, data platform architecture, or AI/analytics platform environments
- Demonstrated experience contributing to enterprise architecture, analytics platform, or AI solution modernization initiatives
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field
- Master's degree in a related field
Mattel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mattel and has not been reviewed or approved by Mattel.
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Leave & Time Off Breadth — Leave & Time Off Breadth: Unlimited paid time off for many salaried roles, generous holiday schedules, and flexibility programs are highlighted across company materials. Practices like half‑day Fridays or end‑of‑year breaks appear in some areas, though specifics vary by team and location.
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Healthcare Strength — Healthcare Strength: Comprehensive medical, dental, vision, and disability coverage is paired with an Employee Assistance Program, mindfulness tools, and on‑site fitness centers at key locations. Recent updates add a company‑paid at‑home cancer‑screening program for those enrolled in medical plans.
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Parental & Family Support — Parental & Family Support: Paid leave for new parents, phase‑back‑to‑work options, and global fertility and family‑building resources are emphasized. Select campuses offer on‑site childcare, and adoption assistance and caregiver support are included.
Mattel Insights
What We Do
We are a purpose driven company with a mission to create innovative products and experiences that inspire, entertain, and develop children through play. We treat play as if the future depends on it — because it does. Play is our language, and we speak to our consumers authentically by representing the world as they see and imagine it. Mattel is a leading global toy company and owner of one of the strongest catalogs of children’s and family entertainment franchises in the world. We engage consumers through our portfolio of iconic brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Monster High and MEGA, as well as other popular intellectual properties that we own or license in partnership with global entertainment companies. Our offerings include film and television content, gaming and digital experiences, music, and live events. We operate in more than 35 locations and our products are sold in more than 150 countries in collaboration with the world’s leading retail and ecommerce companies. Mattel is recognized for the second year in a row as a Great Place to Work™ and as one of Fast Company’s Best Workplaces for Innovators in 2022.
