Director,Data Products & Analytics Engineering Job Fort Lauderdale area,Florida USA,IT/Tech

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Primary

Purpose:

Leads the design, development, and lifecycle management of the University’s reusable data products, Gold-layer analytical data, and institutional semantic models. Establishes a product-oriented analytics engineering capability that transforms governed institutional data into trusted, reusable, and scalable analytical foundations. Ensures that common dimensions, measures, hierarchies, business logic, and security models are built once and reused across reports, dashboards, self-service analytics, advanced analytics, and AI-enabled applications.

Partners closely with Data Governance & Analytics Experience, Information Technology, Data Engineering, enterprise architecture, institutional leaders, and domain stakeholders to translate business needs and governance requirements into technically sound data products and semantic models. Accountable for creating a plug-and-play analytics foundation in Microsoft Fabric and Power BI that allows authorized analysts, report developers, and business superusers to create analytical experiences from governed and certified data without recreating institutional logic

Job Category:

Exempt

Hiring Range:

Commensurate with experience

Pay Basis:

Annually

Subject to Grant Funding? No

Essential Job Functions:

Defines and executes the roadmap for institutional semantic models, domain data products, analytics engineering, and Gold-layer analytical data in alignment with the enterprise data and analytics strategy.

Establishes a product-oriented analytics engineering operating model organized around reusable domain data products, institutional measures, conformed dimensions, shared business logic, and measurable business outcomes.

Leads the design, development, testing, deployment, documentation, and lifecycle management of governed semantic models and analytical data products.

Establishes semantic-layer architecture standards, including dimensional models, facts, dimensions, measures, calculation groups, hierarchies, relationships, row-level security, object-level security, naming conventions, and performance expectations.

Partners with Information Technology and Data Engineering to define Gold-layer requirements and ensure that Bronze- and Silver-layer data is transformed into reliable, consumption-ready institutional data products.

Defines and implements data product lifecycle practices covering discovery, prioritization, design, development, testing, certification, release, monitoring, versioning, enhancement, and retirement.

Establishes and maintains reusable enterprise and domain data products for areas such as enrollment, academics, student success, finance, workforce, research, advancement, and institutional operations.

Leads the rationalization and consolidation of semantic models, measures, dimensions, facts, reports, and duplicated business logic.

Increases the ratio of reports and analytical experiences supported by each certified semantic model, reducing one-report-to-one-model development patterns.

Establishes technical standards for data…

Director, Data Products & Analytics Engineering