Data, Analytics & AI Solution Architect

Teva Pharmaceuticals; Ulm; On-site; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Generous annual leave

Flexible working schedules

Tailored health support

Twist career platform access

Internal growth opportunities

Job summary

Teva Pharmaceuticals is seeking a highly experienced Senior Architect to lead solution design across enterprise data, analytics, and AI initiatives in a Microsoft-first environment. You will translate business requirements into secure, scalable architectures and guide delivery teams through design, prototyping, implementation, reviews, and production readiness.

The role requires deep hands-on experience with Azure data platforms, Power BI, and enterprise AI governance, with collaboration across

Qualifications

• Bachelor's degree in a relevant field.
• 15+ years IT experience with 10+ years in senior solution architecture.
• 2+ years hands-on delivery with Microsoft-first AI platforms.
• 7+ years Azure data platform experience (ADF, Databricks, data lake, SQL).
• Proven end-to-end architecture ownership across data/analytics/AI.
• Strong security, governance, and compliance experience.
• Excellent English communication across stakeholders.

Responsibilities

• Own end-to-end 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 production readiness checks.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Skills

Architecture leadership

Azure data platform

Power BI

Azure AI

Security & governance

English communication

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field

Tools

Azure Data Factory

Databricks

Azure OpenAI

Copilot Studio

Azure AI Search

Microsoft Fabric

Azure DevOps

GitHub Enterprise

Job description

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.

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 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

At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community. When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.

Teva’s Equal Employment Opportunity Commitment

Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.