Technical Lead, Data & AI Engineering (m/f/d)

Clariant SE; München; In loco; EUR 110.000 - 140.000; Tempo pieno

Vantaggi offerti da questo lavoro

Impactful work

Collaborative environment

Global opportunities

Competitive package

Descrizione del lavoro

Clariant is seeking a Technical Lead, Data & AI Engineering to steer a small team across data analytics, architecture and engineering. You will own the architecture of the BU’s growing ML/AI portfolio and data lake, and act as technical product owner alongside business partners to deliver production-grade solutions in an industrial context.

You will align engineering standards, guide MLOps and model lifecycle, and collaborate with ERP/MES/CRM systems while continuously evaluating emerging

Competenze

• 8+ years in data science/ML and software engineering with 3+ years in a lead/architect role.
• Production-grade AI/ML systems experience in industrial/manufacturing context.
• Cloud data platforms/data lakes design and implementation experience preferred.

Mansioni

• Lead a small team across data analytics, architecture and engineering.
• Own the solution architecture for ML/AI applications and digital products.
• Define engineering standards, code reviews, CI/CD gates and MLOps.
• Act as technical product owner refining user stories and prioritizing work.
• Design and drive the cloud data lake and data models.

Conoscenze

Data analytics

Data architecture

Engineering

ML/AI

Python

Agile delivery

Team leadership

Stakeholder collaboration

Formazione

Master's or PhD in Computer Science, Data Science, Engineering

Strumenti

AWS cloud

Docker

Kubernetes

CI/CD

MLOps

Descrizione del lavoro

Technical Lead, Data & AI Engineering (m/f/d)

Clariant is a focused, sustainable, and innovative specialty chemical company. We connect our customers to value-adding and sustainable solutions for products used in countless everyday applications. Our solutions contribute to our customers' sustainability targets while prioritizing our own. We are committed to creating value through innovation and sustainability for our customers, stakeholders, and the environment.

As Technical Lead, Data & AI Engineering (m/f/d) , you are the technical backbone of the business unit's digital build-up. You lead a small team across data analytics, architecture and engineering, own the architecture of the BU’s growing portfolio of ML/AI applications and d ata lake , drive the development backlog as technical product owner alongside business counterparts, and set the engineering standards that separate production-grade solutions from prototypes. The role sits at the intersection of solution design and data architecture in an industrial environment where ERP, CRM, MES, and plant data are daily reality.

Responsibilities

• Lead, develop and grow a small team of 3 - 4 specialists across data analytics, data architecture and engineering , by setting technical direction , prioritizing their work, and building the capability as the organization scales
• Act as technical product owner for the development backlog of developers, data analysts and data scientists : refine user stories with business solution and domain owners, translate business requirements into technically sound, appropriately scoped work, and drive weekly prioritization and sprint planning
• Own the solution architecture for ML/AI applications and digital products built by the team, establishing the design principles, technology choices, and reusable patterns that keep solutions scalable, maintainable, and production-ready
• Apply strong ML/AI judgment to scope and validate solution approaches in collaboration with the data science teams, knowing when a problem needs a model, which class of methods fits, and what production-ready realistically requires
• Design the concept and drive the implementation of the business unit's cloud data lake, e.g., data models, ingestion patterns, storage and access layers
• Ensure solutions integrate cleanly with the industrial systems landscape (ERP, MES, historians, LIMS, CRM) and the cloud platform
• Establish and uphold engineering standards across the team's development work: code and architecture reviews, pull request discipline, testing and CI/CD gates, MLOps and model lifecycle management
• Provide indirect technical leadership to data scientists, ML engineers, and developers across project teams through mentoring, design reviews, and technical direction-setting
• Continuously evaluate emerging technologies, e.g., cloud-native data platforms, generative AI, ML tooling , and selectively introduce those that create genuine value in an industrial manufacturing context

Requirements

• Master's or PhD in Computer Science, Data Science, Engineering, Applied Mathematics, or a related STEM field, with 8+ years spanning data science/ML and software engineering, including 3+ years in a technical lead or architect role
• Proven track record delivering production-grade AI/ML systems in an industrial or manufacturing context, integrated with operational data platforms or enterprise systems
• Hands‑on experience designing and implementing cloud data platforms or data lakes (ideally AWS); advanced Python, cloud‑native architecture, containerization, and MLOps
• Comfortable working in the data yourself, with the instinct to keep analysts and data scientists oriented on the business problem rather than lost in exploration
• Experience leading or developing small technical teams, setting direction, mentoring, and raising engineering standards, while remaining hands‑on yourself
• Demonstrated experience driving agile delivery from the technical side, e.g., backlog ownership, story refinement, sprint discipline, in close collaboration with non‑technical business counterparts
• Working fluency in the manufacturing IT/OT and business landscape (ERP, CRM, MES, historians, LIMS) and the practical realities of industrial data; process‑industry experience and exposure to hybrid modeling approaches are a strong plus

Our Offer

• The opportunity to make a significant impact through data‑driven transformation
• A collaborative working environment with cross‑functional teams
• Professional development opportunities in a global specialty chemicals company
• Competitive compensation and benefits package

Your Contact

#LI-AK1

Clariant is a Swiss‑based global specialty chemicals company, which is concentrated and developed in three business units: Care Chemicals, Catalysts and Adsorbents & Additives. Our purpose as a company is reflected in our tagline "Greater chemistry - between people and planet", which considers the principles of customer, innovation and people orientation, as well as a focus on creating solutions to foster sustainability in different industries by offering high‑value and high‑performance chemical specialties.

At Clariant, we believe that diversity, equity and inclusion are essential to our success. We strive to cultivate a workplace where all employees feel welcomed, respected, supported, and valued. Our diverse workforce allows us to tap into a wealth of perspectives, experiences, and capabilities that drive innovation. We are committed to ensuring equal opportunities for professional growth and advancement across all levels of the organization, based on objective criteria and regardless of gender, gender identity, race, ethnicity, religion, protected veteran status, age, disability, sexual orientation or other aspects of diversity in accordance with the relevant governing laws. By bringing together talented individuals with diverse backgrounds and viewpoints, we gain the agility to meet the evolving needs of our global customers and communities. Join our team to help advance our mission of fostering a culture of belonging where everyone can thrive.

• Read more about our commitment for people -download our Employment Standards Brochure

We at Clariant are aware of our responsibility. Our purpose "Greater chemistry – between people and planet" describes the role we can play in the world if we align our thinking and all future decisions with it.