Inside Higher Ed · 5 days ago
Director, Research Administration Data Strategy and Insights
Inside Higher Ed is seeking a Director of Research Administration Data Strategy & Insights who will provide strategic leadership for data and analytics at the Stanford School of Medicine. This role involves leading an enterprise-wide strategy to unify systems and enhance data visibility across research operations, while collaborating with various stakeholders to drive innovation and operational excellence.
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Responsibilities
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 establishing documentation and knowledge-transfer standards to ensure data quality and operational continuity
Qualification
Required
Master's or PhD degree in computer science, data science, statistics, or a related field and 10 years of relevant experience, or combination of education and relevant experience
At least 5 years of leadership experience with complex research projects and supervision of teams
Demonstrated success in leading teams to apply data science, machine learning, and other advanced computing techniques to solve complex research problems
Expertise in data science, machine learning methodologies, and tools, with a proven ability to apply these in a research context
Strong programming skills, with proficiency in Python and experience with other research software (e.g., R, Stata, Matlab, SAS, Julia, JavaScript)
Demonstrated experience preferred with data processing at scale, including a deep understanding of the appropriate tools and methodologies for various scenarios
Familiarity with advanced text and image processing techniques, and experience developing and deploying full-stack applications and API integrations in a research setting
Exceptional problem-solving skills, creativity in developing customized solutions, and the ability to foresee and navigate future technological challenges
Strong leadership and interpersonal skills, with the ability to inspire, influence and motivate and mentor a diverse team, foster collaboration, effective working relationships and communicate effectively with a wide range of stakeholders
Commitment to continuous learning and staying abreast of the latest technologies and methodologies in research computing
Service-oriented leadership style, with an emphasis on supporting and developing team members and facilitating the success of researchers with varying levels of technical expertise
Ability to synthesize and articulate technical and scientific methodologies, specifications, and information
Demonstrated ability to strategically manage and execute project budgets
Exceptional customer relationship and consensus building skills
Ability to resolve complex issues quickly and make decisions that meet university objectives in a collaborative culture
Preferred
Master's or PhD degree in a relevant discipline
Professional certification in data management, analytics, or project/program management
Demonstrated success leading organizational transformation or research data system redesign within an academic or research institution
Benefits
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position.
The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees.
Specifics about the rewards package for this position may be discussed during the hiring process.
Company
Inside Higher Ed
Inside Higher Ed is the online source for news, opinion, and jobs related to higher education.
Funding
Current Stage
Growth StageTotal Funding
unknown2022-01-10Acquired
2006-08-31Series Unknown
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