Director, Enterprise Data & Analytics
$160,000–$170,000 year
On-siteWorcester, Massachusetts, United States
Job Summary
Define and execute the enterprise reporting and analytics strategy aligned with institutional priorities while overseeing the design, delivery, and continuous evolution of modern analytics solutions leveraging Microsoft Fabric and Power BI. Establish and govern the enterprise analytics operating model, balancing centralized platform services with federated domain ownership, and enforce data governance frameworks covering quality, security, privacy, and compliance. Partner with academic, research, finance, and administrative leaders to translate business requirements into scalable analytics solutions, serving as a trusted advisor to executive leadership. Lead cross-functional governance bodies to drive institutional alignment and promote a culture of data-driven decision-making across UMass Chan.
Required Qualifications
- Bachelor's degree in a related field
- 10+ years of experience in data analytics, business intelligence, or data engineering
- 5+ years in a leadership role
- Proven experience leading enterprise-scale reporting, analytics, or data platform initiatives
- Strong expertise in modern data platforms (data warehouse/lake/lakehouse)
- Deep understanding of data integration, pipelines (ETL/ELT), and multi-source data environments
- Demonstrated experience establishing and operationalizing enterprise data governance frameworks, including data ownership, stewardship, data quality, metadata management, and access controls
- Experience delivering analytics and data platform solutions in regulated or compliance-driven environments (e.g., healthcare, higher education, finance, or similar)
- Proven ability to translate business needs into scalable, high-impact analytics solutions
- Strong leadership, stakeholder engagement, and executive communication skills
Desired Qualifications
- Master's degree
- Experience in higher education, academic health, or complex enterprise environments
- Familiarity with enterprise systems (ERP, HR, research, student systems)
- Experience implementing enterprise data platform transformations or modern analytics operating models
- Experience with data governance tools and frameworks (e.g., Microsoft Purview or similar)
- Exposure to AI/ML-driven analytics and modern data products
- Experience with cloud platforms (Azure preferred)
- Direct experience working with healthcare, research, or academic data subject to regulatory frameworks (e.g., HIPAA, IRB, FERPA, or similar compliance standards)
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