PROGRAM MANAGER - DIGITALIZATION

at  Hella

PROGRAM MANAGER - DIGITALIZATION

Location Tlaquepaque, Mexico
FORVIA HELLA is a listed, international automotive supplier. Coming together with Faurecia in the FORVIA Group, we build the world’s seventh largest supplier of automotive technologies. As a global market leader in high-growth areas, FORVIA employs 157,000 people worldwide. FORVIA HELLA therein stands for high-performance lighting technology and automotive electronics. At the same time, we cover a broad service and product portfolio for the spare parts and workshop business as well as for manufacturers of special vehicles with our Business Group Lifecycle Solutions. With around 37,500 employees at over 125 locations, the Company is active worldwide and generated adjusted sales of € 8.1 billion on a preliminary basis in the fiscal year 2023.

YOUR QUALIFICATIONS

• University degree in Economy Informatics, Computer Science, Mathematics, Electrical or Mechanical Engineering.
• At least a relevant professional experience in the field of responsibility.
• Basic understanding of programming languages and analysis tools, statistics and methodological knowledge.
• Understanding of AI LLM modelling and machine learning.
• Analytical skills, high flexibility and willingness to work independently.
• Very good command of English and willingness to travel for assignments abroad.
• Independent working style, high attention to details, flexible and teamwork orientated and excellent communication skill.
  Even if you do not meet all our requirements, do not hesitate to apply to us, because the further development of our employees is very important to us and opens up a wide range of opportunities for you in our company.
  FORVIA HELLA stands for the variety of all employees. Inclusion and diversity are firmly anchored in our company culture. We are continuously looking for new team players and welcome applications from all interested parties, regardless of their ethical and social background, age, religion, gender, disability, sexual orientation or identity.
  Please send us your application via our career portal, stating your salary requirements and earliest possible starting date, with the reference number req15312.

You realize digital transformation processes by taking over the project management and development task for international projects for the introduction of data transformation and data analytics applications to be set up within a cloud-based platform concept. As a business translator, you are the link between production and data analysts and define complex, data-related requirements. You formulate a problem in preparation for further solution finding and you have first experience in dealing with databases, container & model management and business intelligence tools. AI strategy handling, AI software development and/or the implementation of data science solutions is an advantage.

Your Responsibilities

• Leading and support project execution for design and setup of digital transformation projects.
• You are responsible for implementation of innovative machine learning & advanced analytics applications with business impact from strategy to prototype to productive solution.
• Steering workshops for target group-oriented data interpretation, define out of it consequential conclusions, creation of decision memo as well as building of substantiated recommendations.,
• Ideation, co-creation and rapid prototyping in our agile AI garage.
• You coordinate all project steps, ensure project progress and you are able to proactively promote change.
• You will be responsible for coordinating IT and internal development team support for the technical services and supporting the project teams with any analytical cost, process or quality improvements.
• You extract and present information according to internal customer needs.
• You lead workshops on target group-oriented data interpretation and subsequently create decision protocols and recommendations for action.
• Coordinate and develop data visualization, data mining, data integration and ad-hoc analysis.