Data, Analytics & AI Solution Architect

We Are Teva We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.

Our Team, Your ImpactDADAI (Data, Analytics, Digital & AI Delivery) is building a next generation enterprise delivery engine that turns the company’s biggest opportunities into measurable outcomes using data products, digital automation and applied AI. The ambition is to combine startup pace with enterprise discipline: product thinking, predictable delivery at scale, strong engineering standards, and clear architecture, security and quality gates that enable speed without compromising control.

DADAI has been shaped as an enterprise “factory”, 200+ engineers, designed to absorb significant demand across multiple global domains, industrializing the path from idea to production and continuous improvement while scaling through strategic partners and still preserving internal knowledge and ownership. This is a rare opportunity to join a new leadership organization and to help set how the Teva will use data, analytics and AI to modernize decision making, automate critical processes, and accelerate innovation across core functions and value chains.

The Role We are seeking a highly hands-on senior architect to lead solution design across enterprise data, analytics, and AI initiatives in a Microsoft-first environment. This role is responsible for translating business requirements into secure, scalable, supportable architectures and guiding delivery teams through design, prototyping, implementation, reviews, and production readiness. The ideal candidate combines strong architecture leadership with proven hands-on depth in Power BI, Azure data platforms, and enterprise AI enablement.

How You’ll Spend Your Day Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.

Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.

Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.

Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Your Skills and Experience Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
15+ years of IT experience, including 10+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
2+ Years experience in hands-on delivery of with Microsoft-first AI platforms and services such as Azure OpenAI, Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
7+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.

Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews, code reviews, and…