Analytics Lead

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Work Shift Day

Work Day(s) Monday-Friday

Shift Start Time 8:30 AM

Shift End Time 5:00 PM

Worker Sub-Type Regular

Children's is one of the nation's leading children's hospitals. No matter the role, every member of our team is an essential part of our mission to make kids better today and healthier tomorrow. We're committed to putting you first, and that commitment is at the heart of our company culture:
People first. Children always. Find your next career opportunity and make a difference doing what you love at Children's.

The Analytics Knowledge Lead is responsible for architecting the knowledge infrastructure that powers both human and AI-driven access to Children's analytics assets. This role serves as the strategic and technical authority for the organization's analytics context layer - designing the enterprise data catalog, metric library, data lineage model, and semantic structures that enable AI tools to retrieve the right data at the right time in response to natural language queries.

The work done in this role lays the foundation for knowledge graphs, clinical and operational ontologies, and AI-ready metadata that allow large language models and intelligent search tools to reason accurately over Children's data assets. Working within the Data & Analytics team, the Analytics Knowledge Lead establishes standards and patterns that make analytics assets machine-readable and contextually rich - not just cataloged for human browsing, but structured for AI consumption.

This role partners closely with data engineers, analytics developers, operational data stewards, and IT security to embed context-building practices into the analytics development lifecycle and to ensure that data access governance is applied consistently across Microsoft Fabric lake houses, Power BI reporting assets, and other enterprise tools like Epic Slicer Dicer.

• 3 years of experience in analytics, data engineering, information science, or related technical roles with demonstrated involvement in data catalog, metadata, or knowledge management initiatives
• Experience designing or implementing metadata frameworks, data dictionaries, business glossaries, or semantic data models in an enterprise environment
• Experience with or strong understanding of knowledge representation concepts such as ontologies, taxonomies, controlled vocabularies, or knowledge graphs
• Experience with data access governance including role-based access control (RBAC), row-level security (RLS), or similar security models within a modern cloud data platform
• Experience collaborating with cross-functional stakeholders including technical and non-technical audiences to translate business concepts into structured data definitions

• Bachelor's degree in information science, computer science, data science, library science, health informatics, or related field

• 3 years of experience in an analytics or data platform role with significant metadata, knowledge management, or semantic modeling responsibilities
• Hands-on experience with Microsoft Fabric, including One Lake, Lake houses, and Fabric work spaces
• Experience with Epic Cogito stack including Slicer Dicer, Radar dashboards, and Analytics Catalog
• Experience implementing or administering a data catalog platform (e.g., Microsoft Purview, Alation, Collibra, or equivalent)
• Familiarity with knowledge graph technologies, ontology languages (e.g., OWL, RDF, SKOS), or graph database platforms (e.g., Neo4j, Amazon Neptune)
• Understanding of how large language models (LLMs) consume structured metadata, retrieval-augmented generation (RAG) patterns, and AI grounding techniques
• Familiarity with metric layer or semantic layer concepts (e.g., dbt metrics, Power BI calculation groups, or similar)
• Experience in a healthcare or other regulated industry with exposure to clinical terminologies (e.g., SNOMED, ICD, LOINC) or HIPAA data handling requirements
• Experience leading projects or initiatives without formal management authority
• Microsoft certifications (e.g., DP-600 Fabric Analytics Engineer, PL-300 Power BI)
• Master's degree (or higher) in information science, computer science, data science, library science, health informatics, or related field

• No professional certifications required

• Deep…