UNIV - Senior Data Architect, Research Analytics - Department of SCTR

Job Description Summary The Senior Data Architect, Research Analytics will lead the South Carolina Clinical and Translational Science (SCTR) Institute’s data and reporting strategy and will engage with enterprise IS data leadership and teams to strategize for the design, creation, refinement, and long-term sustainability of an enterprise research data repository that integrates and curates data from multiple disparate systems across the research lifecycle.

This role serves as a critical technical and strategic partner to IS and research leadership and administration, finance, operations, compliance, and analytics teams. The Senior Data Architect will lead the development of a trusted, scalable research data environment supporting SCTR’s metric tracking and reporting and continuous quality improvement data strategy and decision-making. The position will enable comprehensive reporting across financial performance, awards, earned revenue, operational efficiency, research performance, regulatory compliance, and study and participant-level metrics.

Entity Medical University of South Carolina (MUSC - Univ) Worker Type Employee Worker Sub-Type Classified Cost Center CC001064 COM SCTR Operations CC Pay Rate Type Salary Pay Grade University-TEC
07 Pay Range 81,192.

-  Scheduled Weekly Hours 40 Work Shift

• Financial systems (awards, expenditures, revenue, effort)
• Grants and contracts management systems
• Clinical trial management systems (CTMS)
• Research service request systems (SPARC)
• Institutional Review Board (IRB) and Compliance Systems
• Learning management and training systems
• Human resources and faculty appointment systems

• Lead the development of robust ETL/ELT pipelines to ingest, harmonize, and curate data from disparate systems with varying structures, definitions, and data quality.
• Ensure alignment between System APIs, and Integrations looking at workflows of systems such as RIMD, SPARC, CTMS, IRB, Epic, and financial systems.
• Establish and document authoritative data sources, business rules, and transformation logic for research metrics.
• Ensure consistent representation of investigators, departments, academic medical center (AMC) affiliations, colleges, and organizational hierarchies across systems.
• Implement processes to manage historical data, changes to organizational structures, and longitudinal reporting.

• Translate business requirements into data models and visualizations across key research domains, including: o Financial performance (awards, expenditures, earned revenue, cost recovery) o Research portfolio and award activity o Operational performance and efficiency o Research study activation timelines and cycle times o Participant recruitment volumes, accrual rates, and demographic characteristics o IRB approvals, protocol status, and regulatory timelines o Required training and compliance approvals
• Ensure the data mart supports reproducible, auditable research metrics used for internal and external reporting.

• Partner with research operations and quality teams to enable data-driven continuous quality improvement initiatives.
• Develop metrics and dashboards that identify process bottlenecks, variability, and opportunities for improvement across the research lifecycle.
• Support longitudinal trend analysis and benchmarking to assess the impact of operational changes.

• Support SCTR and research leadership and grant reporting by delivering reliable, interpretable data for strategic decision-making.
• Enable analyses used to justify workforce hires, capacity needs, and resource allocation based on research volume, complexity, and performance indicators.
• Ensure visualizations and KPIs are suitable for board-level, sponsor-facing, and regulatory reporting.

• Collaborate with data governance bodies to define data ownership, stewardship, access controls, and usage standards and support evaluation requests for integrating new vendor promoted tools and technologies into existing infrastructure.
• Implement data quality monitoring, validation, and remediation processes.
• Ensure compliance with institutional policies and applicable regulations related to data privacy, security, and research compliance.

• Act as a technical liaison between SCTR, IT, research administration, clinical…