Director, Enterprise Data & Analytics

General Summary

Under the general direction of Associate CIO The Director of Enterprise Data and Analytics is a strategic leadership role responsible for advancing UMass Chans enterprise reporting analytics and data platform capabilities. This role oversees the design delivery and continuous evolution of modern analytics solutions leveraging Microsoft Fabric Power BI and enterprise data platforms to enable data-driven decision-making across academic finance research and administrative domains.

This position sits at the intersection of technology and institutional strategy translating complex business requirements into scalable secure and high-value analytics solutions while fostering a culture of data literacy and governance.

Responsibilities:
Strategy Governance & Platform Leadership
Define and execute the enterprise reporting and analytics strategy aligned with institutional priorities.
Provide leadership for the architecture and evolution of enterprise data platforms including Microsoft Fabric Power BI and related technologies.
Establish and govern the enterprise analytics operating model balancing centralized platform services with federated domain ownership.
Define and oversee enterprise data integration and pipeline strategies across multiple source systems.
Establish and enforce data governance frameworks including data quality security privacy and compliance standards.
Drive standardization of KPIs reporting definitions and enterprise data assets to ensure consistency and trust.
Lead the development and management of certified data products semantic models and a single source of truth for institutional data.
Enterprise Reporting Delivery & Operations
Oversee the design development and delivery of enterprise dashboards reports and analytics solutions.
Ensure scalability reliability and performance of data platforms reporting systems and data pipelines.
Enable both centralized reporting and governed self-service analytics capabilities across the institution.
Define and manage the analytics intake prioritization and delivery processes in alignment with institutional priorities.
Monitor adoption usge and effectiveness of analytics solutions; continuously improve based on user feedback and outcomes.
Establish metrics to measure value realization including adoption data quality and time-to-insight.
Stakeholder Engagement & Value Realization
Partner with academic research finance and administrative leaders to understand strategic priorities and data needs.
Translate business requirements into scalable analytics solutions roadmaps and delivery plans.
Serve as a trusted advisor to executive leadership by providing insights and recommendations that inform decision-making.
Lead or participate in cross-functional governance bodies (e.g. data governance council) to drive institutional alignment.
Promote a culture of data-driven decision-making and continuous improvement across UMass Chan.
Advance data literacy by enabling effective use of enterprise data and reporting tools across stakeholder groups.

Qualifications
Bachelors degree in a related field (Masters degree preferred)
10 years of experience in data analytics business intelligence or data engineering with 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) with Microsoft Fabric and Power BI experience preferred
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

Preferred Qualifications:
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)