RESPONSIBILITIES
- 2+ years of FMCG experience (beverages industry preferred)
- Bachelor’s or Master’s degree
- Fluent in English, with strong written and verbal communication skills
- Team player with a process-oriented mindset and knowledge of sales processes
- Experience in International Sales, Business Insights, and Data Science
- Strong project management skills
- Background in Econometric Modelling & Statistics
- Proficient in MS Excel, Access, PowerPoint; knowledge of SAP BI, Power BI, Tableau; SQL or R is a plus
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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).
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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.
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RESPONSIBILITIES
- A minimum of 5-7 years of experience in business event production, MICE management, community management or internal communications
- Proficiency in digital communication tools and platforms (e.g., MS Teams, project management software, Adobe Creative Suite, Figma)
- Proven experience in developing and implementing change management concepts
- Outstanding organisational, self-organisational & project management skills
- Creative mindset paired with developed business acumen
- Excellent written & verbal communication abilities
- Self-driven, reliable, and resilient in a dynamic and fast changing environment
- Analytical mindset and process-oriented thinking combined with conceptual competence
- Ability to build relationships and work with people at all levels
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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
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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.
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