Head of Data Products & Analytics Engineering

Nova Southeastern University; Town of Florida (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Nova Southeastern University in Florida is seeking an experienced Analytics Engineer to lead the design, development, and lifecycle management of reusable data products and semantic models that underpin trusted analytics across reports, dashboards, and AI-enabled applications.

The role partners with IT, governance, and data teams to transform business needs into scalable data assets, with emphasis on a plug-and-play analytics foundation in Microsoft Fabric and Power BI.

Qualifications

• Advanced knowledge of analytics engineering, semantic modeling, dimensional modeling, data warehousing, lakehouse architecture, and reusable analytical data products.
• Strong knowledge of Microsoft Fabric, Power BI, OneLake, Fabric Lakehouse, Fabric Warehouse, Direct Lake, semantic models, or comparable modern analytics platforms.
• Demonstrated ability to design and manage enterprise or domain semantic models supporting multiple reports, use cases, and audiences.
• Knowledge of data product management, product lifecycle practices, data contracts, service expectations, ownership, adoption, and value measurement.
• Understanding of data governance, stewardship, metadata, certification, data quality, privacy, security, and controlled self-service analytics.
• Experience implementing testing, reconciliation, source control, release management, deployment automation, monitoring, and technical documentation.
• Strong leadership, prioritization, planning, coaching, stakeholder-management, and technical decision-making skills.
• Effective written and verbal communication skills with the ability to produce clear architecture decisions, technical standards, roadmaps, product documentation, and executive materials.

Responsibilities

• 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 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.
• Leads performance optimization for semantic models, Direct Lake solutions, Power BI reports, Fabric workloads, and analytical queries.
• Establishes development, testing, deployment, source-control, and release-management practices for Microsoft Fabric and Power BI assets.
• Enables governed self-service analytics by publishing certified semantic models, reusable measures, templates, documentation, sample reports, and development guidance.

Skills

Analytics Engineering

Semantic Modeling

Power BI

Microsoft Fabric

Data Warehousing

Leadership

Governance

Education

Bachelor's Degree

Tools

Power BI

Microsoft Fabric

Job description

Nova Southeastern University in Florida is seeking an experienced Analytics Engineer to lead the design, development, and lifecycle management of reusable data products and semantic models that underpin trusted analytics across reports, dashboards, and AI-enabled applications.

The role partners with IT, governance, and data teams to transform business needs into scalable data assets, with emphasis on a plug-and-play analytics foundation in Microsoft Fabric and Power BI.