Data, Analytics & AI Solution Architect

We Are Teva

Our Team, Your Impact

DADAI (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 production readiness checks.


• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.


• Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions.

Key Skills

• Hands-on technical leadership with a clear lead-by-example mindset.


• Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements.


• Ability to translate business problems into practical, delivery-ready technical solutions.


• Strong troubleshooting, decision-making, estimation, and risk management capability.


• Comfort working across distributed teams and external suppliers in enterprise delivery environments.

Also Good to Have

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.


• Experience with Microsoft Fabric, Power Platform governance, Azure DevOps, GitHub Enterprise, and CI/CD for analytics or AI solutions.


• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.


• Experience in life sciences, pharmaceuticals, or other regulated industries.


• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

Core Technology Stack

Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration.
AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow.
Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance.
Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault.
Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns.

How We’ll Take Care of You

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