Logo Mercedes - Benz AG

AI Transformation Specialist

Job

  • Level
    Experienced
  • Job Field
    Software, Project
  • Employment Type
    Part Time/Full Time
  • Contract Type
    Permanent employment
  • Location
    Sindelfingen
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop an end-to-end data platform for optimizing capacity and demand management, integrate AI-driven methods, and coordinate agile cross-functional teams for successful implementation.

    Your role in the team

    • The Mercedes-Benz team, consisting of 164,000 employees worldwide, is looking for dedicated and motivated colleagues who are eager to actively contribute to the diverse challenges in the production environment.
    • Together with you, we want to build the most desirable cars in the world. To achieve this, we rely on a diverse team where each member can contribute their own skills, experience, and strengths.
    • Are you ready to take Mercedes-Benz's supply chain to the next level? In our Capacity Management & Demand Planning team (MO/SPC) at the Böblingen location, we work at the interface between global production, supplier management, and sales.
    • We are responsible for global demand and capacity management for all MBC architectures.
    • In doing so, we manage and monitor the constructability of (special) equipment considering supplier capacities, develop the necessary processes and systems for this purpose, and provide technical leadership for the virtual, cross-functional organization.
    • Our work is carried out in interdisciplinary teams and takes into account the global market situations.
    • With us, you take on responsibility for diverse and exciting tasks with a significant impact on the entire organization.
    • Your specific responsibilities include:
    • Build the 'nervous system' of capacity and demand management: You drive the development of an end-to-end data platform that currently connects isolated tools and creates transparency from sourcing through industrialization to series production — enabling risks to be identified early and managed effectively.
    • Bring AI from "Experiment" to "Game Changer": You integrate AI-powered, data-driven approaches to improve forecast accuracy and decision-making — including planning, simulation, and what-if analyses for capacity planning up to bottleneck management.
    • Set the pace for the transformation - technological & organizational: You orchestrate the implementation within an agile, end-to-end bundled setup (Agile Release Train/ART) and align cross-functional teams (business, IT, partners) towards a common target image.
    • Shape strategic decisions: You work on the key questions regarding the future BKM system landscape (including make-or-buy and SaaS approach) - and turn strategy into productive reality.
    • Deliver visible impact in a highly dynamic environment: Your focus is on greater transparency with less effort, as well as stable, efficient processes/systems — in an environment where speed and quality are equally important.

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    Our expectations of you

    Education

    • Completed degree in a relevant field such as Industrial Engineering, Business Administration, Computer Science, or a comparable program.

    Qualifications

    • Ideally, you qualify for this job with:
    • Excellent ability to mediate between the business unit, Data & IT.
    • High intrinsic motivation to fundamentally change things.
    • Very good knowledge of German and English.
    • Strategic thinking combined with execution strength.
    • Integration and team skills.
    • Strong communication skills and confident demeanor.
    • Independence, initiative, problem-solving skills, and flexibility.
    • You don't have everything? Don't worry, we're looking for people who want to make a difference and shape our shared work environment!

    Experience

    • Proven experience in implementing AI/digital transformations.
    • Professional experience in program planning, supplier management, sales, or logistics, and knowledge of customer order processes, supply chain management, and project management are advantageous.

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    What we offer

    • We offer you more than just employment.
    • Additionally, you can expect from us:
    • Above-tariff remuneration.
    • Company pension scheme.
    • Vacation and Christmas bonuses.
    • Annual profit sharing depending on business success.
    • Bonuses for exceptional individual performance.
    • Canteen on site.
    • Attractive annual cars available for purchase and leasing.
    • Employer subsidy for asset-building benefits.
    • Bonuses for service anniversaries as well as jubilar holidays.
    • Flexible working hours with flextime and the possibility of remote work.
    • Regular health days with health checks as well as free vaccinations.
    • In-house company health insurance fund with attractive health promotion.
    • Paid leave for important family events (e.g., wedding).

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    Benefits

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    Topics that you deal with on the job

    Job Locations

    • Location Sindelfingen

      Baden-Württemberg

      Germany

    This is your employer

    Mercedes - Benz AG

    Mercedes - Benz AG

    The Mercedes-Benz brand of automobiles is a registered trademark of Daimler AG. In 2016, sales of new vehicles reached 2.08 million. With business units including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Mobility, the company ranks among the leading providers of premium cars and is the world's largest commercial vehicle manufacturer.

    Description

  • Founding year
    1926
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Vehicle Manufacturing, Supplier, Industry, Production
  • Dev Reviews

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    Total

    (1 Review)
    4.4
    • Workingconditions

      4.8
    • Engineering

      4.0
    • Career Growth

      4.8
    • Culture

      4.2
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    Logo Mercedes - Benz AG

    AI Transformation Specialist

    Location
    Sindelfingen
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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