Semantic Model Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
I. Purpose
The purpose of this position is to support and enhance ASHAs content strategy by developing deploying and maintaining a robust semantic tagging platform and content metadata architecture. This role is responsible for designing the taxonomy/ontology framework and implementing orchestration pipelines for content repositories.
II. Key Responsibilities
- Design deploy and support the semantic tagging platform ensuring scalability and alignment with ASHAs content strategy.
- Develop and maintain comprehensive taxonomy/ontology orchestration to standardize content metadata and enable efficient content transportation.
- Architect and implement orchestration pipelines to integrate content repositories from diverse sources with ASHAs content data warehouse.
- Provide end-user support through the development of custom queries reports and visualizations related to semantic data.
- Create clear and accurate technical documentation training materials and standard operating procedures for the semantic tagging system.
- Evaluate and adopt emerging semantic technologies tools and methodologies to enhance system performance and efficiency.
- Work closely with National Office staff content strategy managers and external vendors to align the semantic platform with organizational objectives.
- Serve as the central resource for ensuring consistency and standardization in semantic data practices across all content initiatives.
IV. Autonomy & Decision Making:
While generally following the established Information Systems programming methodologies and quality assurance standards there will be a high level of independence and latitude in performing duties. Collaboration with and among Information Systems Data Analysis and external vendors will also be required.
V. Qualifications & Skills
Qualifications:
Knowledge typically acquired through:
- 58 years of relevant experience in semantic technologies data integration or content metadata management.
- Professional development and training relevant certifications or accredited workshops.
- Completion of professional certification courses or specialized training in taxonomy ontology development or semantic data platforms is a plus.
- Bachelors degree in Computer Science Information Systems Data Science or a related field.
Skills
- Proficiency in semantic tagging platforms ontology/taxonomy frameworks and metadata management.
- Experience with integrating structured and unstructured data from a variety of sources.
- Familiarity with cloud-based data architecture and orchestration tools especially those within the Azure ecosystem; Fabric experience a plus.
- Proficiency with programming languages such as Python and SQL for data manipulation automation and integration tasks.
- Experience in developing and managing content data warehouses and pipelines.
- Excellent teamwork and collaboration abilities.
- Strong communication skills and ability to document technical processes clearly.
- Strong analytical and problem-solving capabilities with attention to detail.
VI. Universal Expectations of ASHA Staff
At ASHA we believe in working together to make well-informed decisions that will advance the association and the discipline of human communication sciences and disorders; teamwork is vital to achieving our mission vision and maximizing impact. As committed stewards of the organization we care deeply about our professions members and staff and building a strong and welcoming community. We strive to ensure that everyones voice is heard and valued. We are dedicated to helping each other grow and innovate by encouraging open communication and continual learning. Our focus is on delivering excellent service and value to members advancing equity and promoting diversity inclusion and the power of science and research.
VII. Equal Employment Opportunity (EEO)
ASHA is an equal opportunity employer. As such it is ASHAs policy to provide equal opportunity to all qualified applicants and employees without regard for race sex (including pregnancy and gender identity) national origin religion marital status disability veteran status age sexual orientation or LGBT status genetic information citizenship or any other factor protected by applicable federal state or local laws and ASHAs Bylaws. This policy applies to recruiting hiring transfer promotion compensation and benefits upward mobility training and development access to facilities termination and other personnel actions.
VIII. Disclaimer
This job description reflects the primary responsibilities of the job but is not a detailed description of all duties which may be required of someone in the position. All ASHA staff are expected to take on additional responsibilities from time to time and to help their colleagues.
Key Skills
- Python
- C/C++
- Fortran
- R
- Data Mining
- Matlab
- Data Modeling
- Laboratory Techniques
- MongoDB
- SAS
- Systems Analysis
- Dancing
About Company
The American Speech-Language-Hearing Association (ASHA) is the national professional, scientific, and credentialing association for 234,000 members, certificate holders, and affiliates who are audiologists; speech-language pathologists; speech, language, and hearing scientists; audiol ... View more
