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OPEN DATE: November 12, 2024
CLOSING DATE: November 26, 2024 (This job will close once 150 applications are received which may be sooner than the closing date.)
POSITION TYPE: Trust Fund
APPOINTMENT TYPE: Indefinite
SCHEDULE: Full Time
DUTY LOCATION: Washington, DC
Position sensitivity and risk: Non-sensitive/Moderate Risk
Open to all qualified applicants
What are Trust Fund Positions?
Trust Fund positions are unique to the Smithsonian. They are paid for from a variety of sources, including the Smithsonian endowment, revenue from our business activities, donations, grants and contracts. Trust employees are not part of the civil service, nor does trust fund employment lead to Federal status. The salary ranges for trust positions are generally the same as for federal positions and in many cases trust and federal employees work side by side. Trust employees have their own benefit program, which may include Health, Dental & Vision Insurance, Life Insurance, Transit/Commuter Benefits, Accidental Death and Dismemberment Insurance, Annual and Sick Leave, Family Friendly Leave, 403b Retirement Plan, Discounts for Smithsonian Memberships, Museum Stores and Restaurants, Credit Union, Smithsonian Early Enrichment Center (Child Care), Flexible Spending Account (Health & Dependent Care).
Conditions of Employment
This position is in the Digital Platforms Division, Office of the Chief Information Officer (OCIO), under the Under Secretary for Finance and Administration at the Smithsonian Institution (SI). The Digital Platforms Division provides leadership and technical direction for museum collections, archives, libraries, websites, APIs, digital assets, data management, and digital initiatives. This senior data engineer role involves leading large scale, complex data analyses across multiple collections, libraries, archives, databases, and systems, identifying data relationships and trends, and integrating the data to improve and enhance the discoverability of the vast collections of diverse content.
Design and Develop
Creates linked data methods, models, and systems to enhance content discoverability. Serves as an expert advisor, analyzing data structures, relationships, and semantics for developing, testing, implementing, and maintaining data-driven initiatives and systems.
Data Analysis and Engineering Support
Develops data models and ontologies for various domains (e.g., people, places, history, art, science). Collaborates with experts to refine models and vocabularies. Extracts data from diverse sources. Uses AI for predictive analytics and clustering. Ensures data interoperability and quality. Develops APIs and SPARQL endpoints. Documents system life cycles and data requirements. Evaluates linked data technologies.
Enterprise Data Leadership
Provides technical direction and leadership in developing and implementing linked data methods and models. Researches new platforms for data discovery, conducts technical evaluations, develops system requirements, creates data models and workflows, collaborates with various units, promotes data sharing through structured data and URIs, leads data cleanup and standardization efforts, resolves metadata issues, and represents the organization in professional forums.
Communication and Project Management
Defines project scope, requirements, deliverables, risks, and constraints using project management (PM) principles. Prepares acquisition-related documents, uses PM tools to achieve project goals, coordinates multiple parties, conserves resources, presents to the technology review board, and provides direction on emerging technologies as an IT project manager.
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