RESPONSIBILITIES
- University degree in marketing, communications, journalism, media, technology, computer science, information systems or a related discipline
- First Experience with digital services, social media or a similar field
- Strong English writing skills, first project management experience and social media knowledge
- Passion for social media, digital tools and services as well as information technology, digital tools and finding ways to organize and improve business processes
- Understanding of the digital and social media industry – including social platforms like Facebook, Instagram, YouTube, Twitter, TikTok, Reddit, Twitch, etc.
- Desire to become an expert with Social Tools: like Sprinklr, Bit.ly, Facebook Business Manager, LastPass, and Airtable
- Strong communication skills and a desire to work and build relationships with a range of partners, stakeholders and external contractors - and to communicate technical subject-matter
- Organized, creative, self-motivated and focused on delivering results
- Strong work ethic
- Team player
|
YOUR RESPONSIBILITIES
- Design user-centered digital products, from the initial idea to the final interface, and translate requirements into clear, intuitive user interfaces
- Analyze requirements in a structured way and create and communicate implementation concepts
- Collaborate closely with customers and colleagues, to develop structured information architectures, interactive prototypes, and consistent design systems
- Drive cross-functional collaboration to ensure alignment between business needs and technical solutions
- Establish and grow a “Community of Practice” across relevant organizational units to share knowledge and best practices
|
RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working on Data Science topics in Operations / Supply Chain is a plus.
- Masters or Doctorate in relevant field, for instance: Mathematics, Operations Research, Science (including data, computer, behavioural, social, e-con, ...).
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
|
Your responsibilities
- Design, implement and maintain data ingestion, transformation and provisioning
- Design data models and data architecture for effective data processing and storage
- DataOps: orchestrate and monitor data load processes, ensure data quality
- Support Machine Learning Operations (MLOps) with high-quality data products
- Create and maintain documentation
|
Tasks
- Act as a liaison between business units and technical teams to ensure alignment and efficiency.
- Define and analyze requirements as a business partner together with the specialist departments, and translate them into technical solutions
- Participate in SAP related projected, such as rollout, upgrades, and system enhancements
- Provide 2nd and 3rd level support for SAP SD-related issues
- Customize and configure the SAP SD module according to business needs
- Manage and support integration points with other SAP modules (MM, FI, PP, etc.)
- Conduct user training and create documentation for SAP SD processes
|
Your Responsibilities:
- Provide disciplinary leadership and development for a team of technical experts, fostering a high-performance and collaborative culture.
- Oversee the implementation and global rollout of a company-wide PLM solution, ensuring alignment with business goals and stakeholder requirements.
- Coordinate the integration of PLM, working closely with the Process and Data Organization (PDO).
- Lead process optimization initiatives across departments, ensuring efficient and scalable solutions.
- Manage external service providers, including contract governance, performance monitoring, and budget control.
|
YOUR RESPONSIBILITIES
- Design and maintain end-to-end digital solutions architectures that span physical products, digital interfaces, and enterprise systems
- Ensure architectural consistency, scalability, and security across IT and OT domains
- Translate business requirements into technical specifications and architectural blueprints
- Drive cross-functional collaboration to ensure alignment between business needs and technical solutions
- Establish and grow a “Community of Practice” across relevant organizational units to share knowledge and best practices
|
Tasks
- Act as the primary contact for internal business and external service providers and stakeholders. Define and analyze requirements as a business partner together with the specialist departments, and translate them into technical solutions
- Optimize and further develop SAP CPQ and C4C (CRM) platform
- Plan and execute projects and change requests and rollouts
- Responsible for customizing of the related platforms to meet business requirements
- Manage integration with SAP ERP and third-party systems
- Provide 2nd and 3rd level support
- Conduct user trainings
|
RESPONSIBILITIES
- University degree in computer science / similar study or equal practical experience
- At least 3 years of professional experience within an IT department or consulting company
- Hands-on experience in IT project management and in the global roll-out and delivery of business applications
- Demonstrated ability to collaborate across functions or work with external partners
- Understanding of software development and system architecture (data models, integration of systems, programming languages and APIs) is beneficial
- Experience with management, configuration and implementation of SaaS based solutions is valuable
- A good understanding of AI concepts and frameworks to drive applications and foster innovation is a plus
- Knowledge and experience in requirement engineering (user story creation, process modelling, prototyping, …) or business analysis is beneficial
- Proactive working style, excellent communication skills in English (German is a plus) paired with performance- and result-orientation
|
RESPONSIBILITIES
- Master’s or bachelor’s degree in a relevant field, such as product management, UX design, software engineering, computer science or some years of practical experience in this field.
- Solid track record as a Product Manager, ideally in a B2B or B2E environment.
- Experience in Service Design or UX Design is a strong plus.
- Fluent in English, German is a plus
- Effective communicator, explaining complex concepts to non-technical stakeholders, motivating change, and fostering collaboration across diverse teams.
- Proactive, take ownership, and embrace collaboration with partners across disciplines to deliver great experiences.
- Analytical and problem-solving skills with a knack for data-driven decision-making.
|
RESPONSIBILITIES
- 2+ years of experience in data quality, data management, or a related analytical role, with a proven ability to investigate inconsistencies and identify root causes.
- Bachelor’s degree in Information Management, Data Analytics, Computer Science, Business Administration, or a related field, or equivalent experience in data operations, reporting, or issue management; exposure to data governance, data quality, or process management is a plus.
- Fluent, business-proficient English skills, suitable for working exclusively in an English-speaking environment and communicating clearly across all stakeholder groups.
- Strong analytical, documentation, and technical skills, including proficiency in Excel and SQL (or comparable tools), to categorize, track, summarize, and analyze data quality issues effectively.
- Clear communication and stakeholder management abilities, with experience working with ticketing systems (e.g., ServiceNow, Jira) and applying structured processes while working independently and ensuring accountability.
|
RESPONSIBILITIES
- Lead the implementations and rollouts of services across Red Bull and its subsidiaries.
- Coordinate scope, budget, time, quality and external implementation teams/partners.
- Deliver projects based on Red Bull project management standards and principles. Collaborate closely with external vendors, internal teams such as architects and business partners.
- Oversee stakeholder engagement, risk mitigation and test management activities.
- Drive roadmaps and solutions to the company’s benefit.
|
RESPONSIBILITIES
- 7+ years in IT infrastructure architecture or related roles.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- English mandatory, German optional.
- Proven expertise in data integration platforms (e.g., Azure Data Factory) and/or disaster recovery planning.
- Strong knowledge of hybrid cloud environments (Azure, AWS).
- Proficiency in virtualization, storage, networking, and backup technologies.
- Familiarity with automation tools and Infrastructure as Code (IaC).
|
