Profile description

As a language project manager you coordinate different types of company projects and workflows, from translation tasks to the development of new language technologies. Your responsibilities also include process evaluation and communication with teams, clients and/or vendors. You are directed more towards processes and people than towards data.

Typical tasks and responsibilities

Communications with teams, clients and vendors

Project management

Processes evaluation

In the following sections, you will find more details about what you need to know to effectively perform previously presented tasks. Please have in mind that maintaining a strong foundation of disciplinary, (inter)cultural and transversal skills is equally indispensable for success across all listed tasks and responsibilities.

Knowledge, skills and competences

Master's
Processes
Workflows
Data
Evaluation
Innovation
Organizational
Research
Problem-solving
People skills

#1 Organisational

Planning, managing and leading projects and teams

This means that you have some familiarity with entrepreneurship, you are able to manage different kinds of projects, plan their implementation, implement quality assurance procedures and ensure that teams work well together towards a common goal

#2 Technical

Using and developing language technologies together with language engineers

This means that you know about different types of language technologies, such as CAT tools, machine translation engines and ChatGPT, and you know not only how to use them, but also have some knowledge of how they work; you also have some programming skills, e.g. in Python

#3 Data-oriented

Familiarity with language data and their collection, curation and (statistical) analysis

This means that you have some experience in collecting linguistic data (e.g. from corpora or from speakers, in an interview or an experiment), in curating them and storing them following a set of standards, and in analysing them (especially quantitatively)

#4 Research-oriented

Applying analytical and critical skills to approach problems and advance knowledge

This means that you are able to use linguistic data for doing research, framing questions through appropriate research design, thinking analytically and processing information critically

See other profiles

Language data analyst

Language data collection, annotation, analysis