Semantic Model Engineer na ASHA

I. Purpose 

The purpose of this position is to support and enhance ASHA’s 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 

1. Design, deploy, and support the semantic tagging platform, ensuring scalability and alignment with ASHA’s content strategy.
2. Develop and maintain comprehensive taxonomy/ontology orchestration to standardize content metadata and enable efficient content transportation.
3. Architect and implement orchestration pipelines to integrate content repositories from diverse sources with ASHA’s content data warehouse.
4. Provide end-user support through the development of custom queries, reports, and visualizations related to semantic data.
5. Create clear and accurate technical documentation, training materials, and standard operating procedures for the semantic tagging system.
6. Evaluate and adopt emerging semantic technologies, tools, and methodologies to enhance system performance and efficiency.
7. Work closely with National Office staff, content strategy managers, and external vendors to align the semantic platform with organizational objectives.
8. 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:

• 5–8 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.
• Bachelor’s 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 everyone's 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 ASHA’s 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 ASHA's 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.