Design global user interactions for our conversational AI solutions (Voice
and ChatBot “Elisa”) within a cross-functional scrum team.
Create and refine modular dialog flows, features, and use cases that deliver intuitive, human-like, and helpful conversational experiences.
Ensure dialogs are scalable and reusable across different products, countries, and languages while maintaining a consistent brand voice.
Continuously improve NLU performance, flow structure, and overall conversational experience based on user feedback and data.
Identify business and customer requirements and help define a clear product vision for conversational services in P&C insurance.
Take responsibility for impact-driven use case prioritisation in close alignment with tribe leads and operational stakeholders.
Define relevant KPIs for conversational use cases (e.g. containment rate, CSAT, task completion) and regularly evaluate performance.
Derive optimisation measures from performance insights and actively drive their implementation.
Coordinate independently with operational units to understand processes, pain points, and improvement potential for automation and support.
Align with multiple development teams working for different countries to ensure coherent implementation and rollout of use cases.
Support rollout activities across markets, including testing, localisation, and ensuring readiness of processes and documentation.
Improve quality and foster continuous innovation regarding products, conversational design practices, and the underlying technology stack.
Work with low-code platforms (e.g. Cognigy or similar) to model conversational flows and integrate backend services where required.
Design and implement testing frameworks for conversational use cases from scratch, including A/B tests and regression testing.
Use analytics tools (e.g. Cognigy Insights, Power BI) to monitor performance, identify improvement opportunities, and validate hypotheses.
Stay up to date on NLP / LLM technology, Human-Machine Interaction, and conversational UX trends and bring new ideas into the team.
Requirements
Bachelor’s or Master’s degree in Computational Linguistics, Computer Science, or comparable field; alternatively, degree in Linguistics or Digital Humanities with solid programming, NLP, and data analysis skills.
Professional experience in Conversational AI, NLP, UX writing, or comparable roles; first experience in developing conversational chat
and voicebots is a strong plus.
Proficiency in at least one programming language and experience working with linguistic / conversational data.
Experience with performance evaluation methods and metrics, ideally for linguistic data or conversational systems.
Strong familiarity with agile IT project methodologies (e.g. Scrum), preferably in an international context.
Experience in the insurance industry or financial services is an advantage.
Advanced written and verbal communication skills in English; German is a strong plus. Additional languages such as Spanish, Italian, Dutch, or French are desirable.