Identify, assess, and prioritize AI opportunities that improve business processes, operational efficiency, decision-making, and customer value
Partner with business functions to understand challenges, analyze end-to-end processes, and translate business needs into AI-enabled solutions
Support the development of AI business cases, define success metrics, and track value realization and business outcomes
Collaborate with data, technology, and business teams to deliver AI initiatives from concept through implementation and adoption
Facilitate workshops, gather requirements, and support prioritization and execution of AI transformation initiatives
Promote adoption of AI-enabled ways of working through stakeholder engagement, user enablement, and change management activities
Ensure AI initiatives align with responsible AI principles, enterprise governance standards, data privacy requirements, and organizational policies
Stay informed on emerging AI technologies, industry trends, and enterprise AI best practices, helping identify new opportunities for innovation
Contribute to the continuous development of the organization's AI transformation capabilities and governance framework
Requirements
University degree in Computer Science, Data Science, Business Informatics, Engineering, Business Administration, or a related discipline
A few years of professional experience in AI, analytics, digital transformation, consulting, product management, process improvement, or a comparable business transformation role
Experience supporting AI, automation, or data-driven initiatives within a business environment, ideally in B2B or other complex enterprise organizations
Fluency in English is required; German language skills are an advantage
Understanding of business process management, operational excellence, continuous improvement, or process redesign
Ability to analyze business challenges and identify opportunities where AI, automation, or data-driven solutions can create measurable business value
Experience contributing to business cases, KPI definition, value realization, or performance measurement
Strong interest in expanding from process improvement into broader AI-driven business transformation
Good understanding of AI and machine learning concepts and their practical business applications
Familiarity with AI solutions such as copilots, chatbots, intelligent agents, workflow automation, and generative AI applications
Experience supporting the implementation, rollout, or optimization of AI or analytics solutions in collaboration with business and technical teams
Understanding of responsible AI, data privacy, and enterprise governance principles
Interest in developing expertise in enterprise AI governance, AI risk management, and regulated AI environments
Strong communication and interpersonal skills with the ability to collaborate across business, technology, data, and governance teams
Experience facilitating workshops, gathering requirements, and supporting project delivery
Exposure to change management, user adoption, training, or organizational enablement activities
Demonstrated ability to influence without formal authority and build trusted relationships across functions
Curious, proactive, and passionate about applying AI to solve business challenges
Structured, pragmatic, and hands-on, with the ability to turn ideas into practical outcomes
Comfortable working in a fast-evolving environment with a continuous learning mindset
Committed to responsible, ethical, and trustworthy AI adoption
Motivated to grow into a broader enterprise AI transformation leadership role
Benefits
Opportunities for professional development and growth into AI transformation leadership
Collaboration with multidisciplinary teams across business and technology
A dynamic, innovative environment where continuous learning and responsible AI are valued