Job Description
We are looking for someone with a background in engineering and experience in technology asset management, artificial intelligence and contract management for our Legal Tech and Digital Transformation area. They will implement the technology solutions designed for our clients and support optimisation, automation and compliance initiatives in software and hardware asset management.
Functions
- Implementing automation and improvement processes using artificial intelligence and machine learning;
- Developing and applying prompt engineering models to optimise business processes with generative AI; and
- Analysing and improving processes with Lean and Legal Project Management methodologies.
Requirements
Studies:
- Information Technology Engineering, Telecommunications Engineering or similar.
Experience:
- Up to three years in technology asset management, IT strategy, software asset management and contract management.
Technical expertise:
- Artificial intelligence and prompt engineering;
- Software asset management (SAM), IT asset management (ITAM);
- Cloud computing and optimisation of licences in multi-cloud environments;
- Data analysis and visualisation tools; and
- IT governance regulations and standards (ISO 27001, ITIL, etc.).
Languages:
- A high level of English.
The following would be considered an asset:
- AI and software asset management certifications (CSAM, ITIL, CAIP);
- Experience in digital transformation and process automation projects;
- Knowledge of technology regulation and cybersecurity; and
- Ability to analyse and solve problems in complex environments.
We offer
• Professional career opportunity at a growing firm.
• Immediate start at our Madrid offices.
• Competitive salary.
At Pérez-Llorca we advocate equal opportunities for people who apply for vacancies at the firm regardless of their sex, race, age, nationality, marital status, political or religious beliefs, sexual orientation or family and/or personal situation. We are committed to talent without labels and we want to contribute to the creation of stable and quality employment, without any bias in the selection processes.