Associate Director

3 weeks ago

Pune, India CRISIL Limited Full time

Job summary

The vision of the Data management Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of domain specific semantic knowledge rich data management that can be consistently utilized across Domain data. We aim to make data knowledge compelling, easy to use, and feature rich. Our work to build comprehensive data knowledge base to allow us to semantically understand an end user intent. We strive to make data searching experiences more intuitive for all users.

As an Ontologist, you work on a team of knowledge builders to deliver world-class, intuitive, and comprehensive taxonomy and ontology models to optimize data discovery. You collaborate with business partners and engineering teams to deliver knowledge-based solutions to enable data discoverability for users.


Tasks and Responsibilities:

Designing and managing taxonomies, thesauri, and/or ontologies

Helping to develop and deliver taxonomy and content governance plans

Reviewing existing taxonomies and metadata schemas

Leading the development of Enterprise Knowledge taxonomy consulting deliverables

Develop logical, semantically rich, and extensible data models for data catalog

Research worldwide understanding of domain to develop scalable data models that solve user problems and enhance data discoverability

Expand existing data retrieval techniques by utilizing our extensive data catalog and query languages

Contribute to the development of new tool features and processes for the Ontology/data management team

Drive alignment to ontology modeling and technology best practices and principles within our organization

Coordinate cross-functional projects with a broad range of technical and non-technical teams


BASIC QUALIFICATIONS

Degree in computer science, Library Science, Information Systems, Linguistics or equivalent professional experience

8+ years of relevant work experience working in ontology and/or taxonomy roles

Proven skills in data retrieval and data research techniques

Ability to quickly understand complex processes and communicate them in simple language

Ability to communicate knowledge-based requirements and needs to engineering and busines teams

Familiarity with Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN)

Knowledge of open-source and commercial ontology engineering editors (e.g. Protege, TopQuadrant products, PoolParty)

Detail-oriented problem-solving, ability to work in fast-changing environment and manage ambiguity

Proven track record of strong communication and interpersonal skills

Proficient English language skills


PREFERRED QUALIFICATIONS

Master’s degree in computer science, Library Science, Information Systems, Linguistics or other relevant fi elds

Experience building ontologies in the fi nance domain and semantic search spaces

Experience working with schema-level constructs (e.g. higher-order classes, punning, property inheritance)

Proficiency in SQL, SPARQL

Familiarity with software engineering life cycle

Familiarity with ontology manipulation programming libraries

Exposure to data science and/or machine learning, including graph embeddings

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