Associate Director of Data Analytics and Platform Services

The Rector & Visitors Of The University Of Virginia
Charlottesville, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 125K

Job location

Charlottesville, United States of America

Tech stack

API
Artificial Intelligence
Data analysis
Azure
Data Architecture
Information Engineering
Data Governance
Data Integrity
ETL
Data Transformation
Data Security
Document Management Systems
Python
Knowledge Management
Performance Tuning
Power BI
SQL Databases
T-SQL
Web Services
File Transfer Protocol (FTP)
Cloud Platform System
Data Ingestion
Large Language Models
Microsoft Fabric
PySpark
Data Analytics
Data Management
Data Pipelines
Airtable

Job description

The School of Engineering and Applied Science (SEAS) at the University of Virginiaseeksan experienced and strategic data professional to serve as the Associate Director of Data Analytics and Platform Services. This position will lead a small team responsible formaintainingand advancing a production-grade Microsoft Fabric data platform while delivering high-quality analytics and reporting that support operational excellence, strategic planning, and institutional decision-making., Data Analytics and Reporting

  • Partner with school leadership and academic units to align analytics and reporting with institutional priorities.

  • Create andmaintaindashboards, visualizations, and reports for strategic metrics using Power BI and related tools.

  • Perform trend analysis and forecasting using large, complex datasets across enrollment, faculty, research, and financial domains.

  • Lead the school's institutional reporting efforts, including IPEDS, ASEE, and USNewssurvey submissions.

  • Support operational decision-making through data-driven insights and ad hoc analysis.

Data Engineering and Platform Development

  • Maintain and enhance the school's Microsoft Fabric data platform, includinglakehouse/warehouse architecture,PySparknotebooks, and T-SQL pipelines.

  • Define and advance the school's data architecture, strategy, and long-term platform roadmap.

  • Manage data governance and ensure data integrity, performance optimization, and reliability of data pipelines in compliance with university policies.

  • Explore and implement emerging technologies, including AI/LLM tools, to enhance data access and insight delivery.

  • Collaborate with central UVA IT and enterprise data governance partners to align data practices and integrate institutional data sources.

  • Manage API integrations and data ingestion from external systems (e.g., Slate SFTP,Airtable, Google Scholar).

Team Leadership and Stakeholder Management

  • Lead and develop asmallteamof data analysts and engineers; serving as a player-coach who balances hands-on technical work withpeopleleadership.

  • Navigate stakeholder relationships across academic departments, associate deans, faculty affairs, and administrative units.

  • Maintain documentation, runbooks, and knowledge management practices to ensure platform continuity.

Requirements

  • Experience managing a team of data analystsorengineers.

  • Strongproficiencyin Python (PySpark), SQL (T-SQL), and data transformation frameworks.

  • Experience with Microsoft Fabric, Azure, or comparable modern cloud data platforms.

  • Demonstrated ability to design and manage ETL/ELT pipelines and data architectures.

  • Experience developing dashboards and reports using Power BI or similar tools.

  • Strategic thinking, project planning, and the ability to influence analytics adoption across an organization.

  • Demonstrated innovation inanalyticsmethodologies and technologies.

Preferred Qualifications

  • Experience working in higher education or complex institutional environments.

  • Familiarity with university data domains (enrollment, faculty, research, finance, advancement).

  • Experience with institutional survey and reporting frameworks (IPEDS, ASEE, US News).

  • Experience with API integrations and web services.

  • Exposure todata quality frameworks and data governance practices.

  • Experience with AI/LLM tools in a data platform context.

  • Microsoft Fabric certifications (e.g., DP-600) or comparable cloud platform credentials.

About the company

About UVA School of Engineering and Applied Science The University of Virginia School of Engineering and Applied Science (SEAS) serves more than 3,000 undergraduate students and 1,000 graduate students andhasa rapidly expanding research enterprise. Theschoolis committed to excellence in education, research, and service., The University of Virginia is a world-class public institution, combining rigorous academics, cutting-edge research, and a vibrant community. Nestled in Charlottesville, VA, UVA offers a high quality of life with access to outdoor recreation, a thriving arts scene, and a strong sense of community.

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