At a Glance
- Tasks: Lead AI projects, driving innovation in automotive data solutions.
- Company: Join TecAlliance, a global leader in automotive aftermarket data.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with global teams and enjoy a dynamic work environment.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in IT or Data roles, strong programming skills, and team leadership.
The predicted salary is between 36000 - 60000 £ per year.
TecAlliance interconnects global automotive aftermarket data and knowledge from order to invoice. With over 900 colleagues working relentlessly in 140 countries, we are owned by 34 automotive companies like Bosch, Continental, Rheinmetall, and ZF. We act as an information hub and process facilitator for them, ensuring standardized processes that help clients save costs (process and indirect costs) and time through efficient processes enabled by our software.
In this newly created role, you will lead the coordination of key Machine Learning initiatives like automatic data extraction, validation, and mapping using AI. For example, we are building automatic language translation with our data. We created an internal AI-powered extraction platform that leverages the wealth of existing PDFs (e.g., workshop manuals) to streamline critical processes such as return claims, model pricing, invoice document handling, and car damage detection. It can also give you a rough damage analysis based on a picture that is uploaded.
We’re a “Data-as-a Service” company. With you at the forefront, we accelerate innovation and deliver smarter, faster, and more scalable services for the automotive aftermarket. Your functional and technical leadership skills will be essential - without your contribution, our ability to scale AI and Machine Learning across TecAlliance will stall. But with you on board, progress will soar, especially alongside Christian Krause’s enthusiastic team who are eager to collaborate and innovate with you.
Your success will be measured by the number of AI processes and solutions you introduce, implement, and drive adoption for within TecAlliance. This is a truly global role where you’ll interact with direct colleagues from Germany & Vietnam, but interact constantly with global teams.
Your role:
- Functionally lead project teams for AI projects for a pre-defined project period.
- Define and Plan: You draft project-specific problems, evaluate their relevance & fit, set baselines, and define KPI targets.
- Validate and Prove: You check data availability, create hypotheses, and demonstrate measurable improvements.
- Ensure Readiness: You secure operational readiness (Service Level Objects, incident runbooks) and steer adoption paths.
- Optimize and Share: You monitor outcomes, optimize services, and lead knowledge sharing across teams.
Your profile:
- Profound professional experience in a comparable position (IT and/or Data-focused).
- You’re a hands-on AI programmer that can also explain complex tech / AI topics to a non-tech audience and guide them through the project (i.e. KANBAN based).
- Experience in functionally leading a team or leading cross-functional teams project based.
- Advanced programming skills and technical expertise in the required technology stack.
- Understand and validate Python while being able to spar with AI tools that create the code.
- Bachelor’s or master’s degree in computer science or another relevant formal certification in Data Science, Information Technology, Engineering, or a related field.
Must Have: Professional English language skills (business fluent)
Nice to Have: Certifications in international and agile environments (e.g., Scrum Master, Agile Coach, AWS/Azure/Google Cloud certifications), Relevant technical certifications (e.g., Data Science, Machine Learning, ITIL, PMP), Knowledge of German language.
Please note that TecAlliance can only consider candidates for employment who are legally authorized to work in a country listed in the job posting, where we have an established legal entity and payroll system. Unfortunately, we are currently unable to hire candidates who require relocation, visa support, or are located outside of that country. Of course you can apply if you hold a work permit and are willing to / or already moved to the country. Thank you for your understanding.
It is not possible to work outside of the country you are applying for. Meaning that, if you apply e.g. for Germany, you must work from within Germany. It is not possible to work from abroad. You can work at any location within the borders of the listed country, unless the job posting specifies a certain City.
Team Coordinator AI Projects (m/f/d) employer: TecAlliance
TecAlliance is an exceptional employer that fosters a dynamic and innovative work culture, where over 900 colleagues collaborate across 140 countries to drive advancements in the automotive aftermarket. As a Team Coordinator for AI Projects, you will not only lead cutting-edge initiatives but also benefit from extensive employee growth opportunities, a supportive team environment, and the chance to work with leading automotive companies. With a focus on professional development and a commitment to leveraging AI technologies, TecAlliance offers a rewarding career path in a truly global setting.
StudySmarter Expert Advice🤫
We think this is how you could land Team Coordinator AI Projects (m/f/d)
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We think you need these skills to ace Team Coordinator AI Projects (m/f/d)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at TecAlliance
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
