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# Technical Lead, Data, AI & Analytics

- **Company:** Clariant AG
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Engineering, Code Review, Continuous Integration, Python (Programming Language), Laboratory Information Management Systems, Scrum Methodology, Cloud Services, Software Engineering, Cloud Platform System, Containerization, Data Lakes, Data Analytics, Data Management, Machine Learning Operations
- **Published:** August 6, 2026
- **Apply:** https://eu.experteer.com/career/view-jobs/technical-lead-data-ai-and-analytics-m-f-d-muenchen-bayern-deutschland-58838333

## About the Role

* and cloud platform * Establish engineering standards: code reviews, CI/CD gates, MLOps, model lifecycle management * Provide technical leadership through mentoring, design reviews, and direction-setting * Evaluate new technologies (cloud-native data platforms, generative AI, ML tooling) for industrial value Tasks * 8+ years in data science/ML and software engineering * 3+ years in a technical lead or architect role * Proven track record delivering production-grade AI/ML systems in industrial contexts * Hands-on experience with cloud data platforms or data lakes (ideally AWS) * Advanced Python, cloud-native architecture, containerization, and MLOps * Experience driving agile delivery with business counterparts * Fluent understanding of manufacturing IT/OT landscape (ERP, CRM, MES, historians, LIMS) * Process-industry exposure and experience with hybrid modeling is a plus Key requirements * competitive compensation and benefits package * professional development opportunities * aaaa
* work model * global collaboration * cross-functional teams * opportunity to impact data-driven transformation

## Description

Experteer Overview In this role, you drive the engineering backbone of the BU's digital initiatives, owning ML/AI apps and the data lake architecture. You act as technical product owner, shaping scalable, production-ready solutions and guiding engineering standards. You'll bridge solution design with data platforms in an industrial setting, integrating ERP, MES, and plant data. This is an opportunity to lead data-driven transformation and influence how advanced analytics unlocks value in manufacturing. Pay / Benefits * Refine backlogs and translate business needs into technically scoped work; lead sprint planning with cross-functional owners * Own architecture for ML/AI apps and digital products, define design principles and reusable patterns * Apply ML/AI judgment to select appropriate modeling approaches and production requirements * Design and drive cloud data lake concepts, including data models, ingestion, storage, and access * Ensure integration with ERP, MES, historians, LIMS, CRM and cloud platform * Establish engineering standards: code reviews, CI/CD gates, MLOps, model lifecycle management * Provide technical leadership through mentoring, design reviews, and direction-setting * Evaluate new technologies (cloud-native data platforms, generative AI, ML tooling) for industrial value Tasks * 8+ years in data science/ML and software engineering * 3+ years in a technical lead or architect role * Proven track record delivering production-grade AI/ML systems in industrial contexts * Hands-on experience with cloud data platforms or data lakes (ideally AWS) * Advanced Python, cloud-native architecture, containerization, and MLOps * Experience driving agile delivery with business counterparts * Fluent understanding of manufacturing IT/OT landscape (ERP, CRM, MES, historians, LIMS) * Process-industry exposure and experience with hybrid modeling is a plus Key requirements * competitive compensation and benefits package * professional development opportunities * hybrid work model * global collaboration * cross-functional teams * opportunity to impact data-driven transformation


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