Director, Research Administration Data Strategy and Insights

Director, Research Administration Data Strategy and Insights

We’ll be on winter break December 22, 2025, through January 2, 2026. Please feel free to apply during this time. We’ll begin reviewing applications January 5, 2026. Thank you for your interest in Stanford.

• DATE POSTED 1 day ago
• Schedule Full-time
• Job Code 4800
• Employee Status Regular
• Grade M
• Requisition

The Director of Research Administration Data Strategy & Insights provides strategic leadership for the data, analytics, and governance infrastructure that underpins the Stanford School of Medicine’s Research Operations. As a key member of the Research Operations leadership team reporting to the Assistant Dean, Research Operations, the Director leads an enterprise-wide strategy that unifies systems, standardizes metrics, and ensures real-time, data-driven visibility across the full research administration lifecycle—including pre-award, clinical trials, research contracting and agreements, compliance, and workforce development.

This role sits at the intersection of research administration and advanced data strategy, blending operational insight with technological expertise to build the modern analytics infrastructure that Stanford Medicine requires. The Director leads a team developing institutional dashboards, KPIs, reporting frameworks, and predictive analytics that reflect the scientific complexity of the School of Medicine and the evolving needs of a data-driven research enterprise.

By integrating previously siloed data sources and implementing scalable, transparent reporting environments, the Director enables leadership to monitor performance, anticipate emerging needs, and confidently steer institutional strategy.

Serving as a cross-functional partner, the Director collaborates closely with faculty, department administrators, and leaders across Research Operations, the School of Medicine, and institutional stakeholders. The ideal candidate will drive innovation in research administration by evaluating emerging technologies, advancing data governance, and establishing a unified source of truth that enhances transparency, audit readiness, and operational excellence.

This is a pivotal leadership position for a forward-thinking expert who brings together research administration acumen and technological innovation to build a modern, data-powered ecosystem that enables Stanford Medicine to accelerate discovery and advance its mission.

• Lead cross-functional research operations data governance by chairing institutional leadership and Data Strategy Council forums to align definitions, standards, and strategic priorities across Grants, Clinical Trials, Agreements & Compliance, and Training & Outreach.
• Design and implement a formal governance and intake framework that prioritizes analytics and reporting requests, aligns demand with capacity, and ensures timely delivery of high-impact metrics for executive decision-making.
• Define, validate, and maintain enterprise KPIs through cross-functional collaboration, ensuring consistent, institutionally aligned metrics that promote transparency and accountability.
• Develop and deliver operational dashboards and predictive analytics to inform grant proposal performance, clinical trial activation and enrollment, agreement turnaround times, compliance monitoring, training outcomes, and resource planning.
• Enable enterprise system interoperability and data integration across platforms including OnCore, SeRA, REDCap, EPIC, IRB systems, and OPACS by establishing data entry, metadata, and technical integration standards.
• Provide role-specific, self-service analytics tools for departments and faculty that surface actionable insights, reduce reliance on ad hoc reporting, and support decentralized, data-informed decision-making.
• Ensure audit readiness and regulatory compliance by overseeing documentation practices, data lineage, and metadata capture, and coordinating cross-functionally to meet NIH, FDA, sponsor, and internal audit requirements.
• Build and sustain institutional data stewardship and literacy by training embedded domain data stewards, leading change management initiatives, and…