Context
The Knowledge Management (KM) Capability sits at the intersection of enterprise platform service design, semantic data engineering, and taxonomy governance for the organization. The team operates in a multi-faceted role, which includes performing complex data analysis to improve knowledge representation and consumption of unstructured data in systems, develop data transformation pipelines that join multiple data sets in the ASML knowledge graph, and collaborating across the organization to help define the customer experience for knowledge discovery and access on the Progress Semaphore platform. Members of the KM team own the end-to-end development of knowledge graph features for ASML recommendation engines, data, and content domains, using both industry standards and proprietary technical tools.

Responsibilities – (The below listed duties are not all inclusive. This position must also perform other duties as assigned.):

As a Semantic/Knowledge Engineer on the KM team, you will contribute to projects focusing on the design, creation, and deployment of knowledge models that translate business needs and domain expertise into machine actionable platform level services. 

Primary responsibilities will include:
Co-Designing the Enterprise Taxonomy in partnership with Learning & Knowledge Management department and several IT Teams
Leading all aspects of Design, Publish & Maintenance of Enterprise Taxonomy Artifacts, Best Practices, Guiding Principles, Methodologies, and Standards
Oversight of ASML's metadata assets, primarily taxonomy, ontology, and content data
Supporting current semantic structures, such as multiple ontologies and knowledge graphs, though semantic modeling techniques
Modeling metadata and ontology schema to develop new semantic representations for supporting recommendation functionality
Working with internal teams to guide the development and usage of knowledge structures that enable actionable information to data consumers and applications
Supporting current and establishing new ETL processing rules and data workflows to support and grow current infrastructure
Collaborating with Product, Software Development and Content teams to support current and future API integrations for semantically enabled applications, including recommendation functionality.
Working with domain and business experts to translate requirements into knowledge models that support machine decision making

Education and Experience
Master’s in Information Science, Computer Science, Computational Linguistics, or related field
Experience with developing and deploying controlled vocabularies, taxonomies, ontologies, or knowledge graphs within cloud-based architectures
Knowledge/experience with some knowledge technologies like knowledge graphs, graph databases, text mining, NLP, ontology engineering, machine learning
Ability to use graph technology such as RDF triple stores to support enterprise level data solutions
Knowledge of designing and validating metadata models and frameworks for varied data and content types
Knowledge of / experience with Progress Semaphore platform
Expertise in text analytics and data analysis specifically related to unstructured data
Experience working with content and domain experts to gather requirements
Knowledge in agile process frameworks like Kanban and Scrum is an advantage

Required skills:
Proficiency in SQL, SPARQL, RDFS, SKOS or additional query languages
Demonstrates ability to construct and design ontologies that support knowledge graph deployment
Competence in using Python libraries specifically focused on dealing with unstructured text data and knowledge mining
Ability and willingness to learn new technologies and tools
Capacity to work with Semantic Web Technologies
Basic Natural Language Processing (NLP) skills
Proficient knowledge of AWS or cloud-based environments
Knowledge in data visualization tools/techniques

Required abilities:
Detail-oriented and an ability to problem-solve independently
Strong reading and writing skills
Very strong social and communication skills – ability to present ideas clearly and with confidence across diverse settings and groups in the organization
Ability to work individually and with a team to meet deadlines

Diversity and Inclusion
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.