Associate Director, Research Data Protection & Analytics
Listed on 2026-07-27
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IT/Tech
Data Analyst, Information Security & Data Protection, Data Science Manager
Associate Director, Research Data Protection & Analytics
Information Sciences is seeking an Associate Director, Research Data Protection & Analytics to support R&D efforts related to insider risk, trade secret protection, and research data governance through advanced analysis and strategic collaboration. This role plays a critical part in driving data-driven decision-making by uncovering actionable insights from complex datasets and delivering key metrics and insights. Under the direction of the group lead, the successful candidate will manage day-to-day program activities, foster strong stakeholder partnerships, and champion innovative solutions that enhance operational efficiency.
With a passion for science and technology, this position offers the opportunity to contribute meaningfully to protecting valuable organizational assets.
If you thrive on solving complex information challenges, enjoy leading cross-functional collaborations, and are motivated by the opportunity to enhance the impact of scientific research through innovative information strategies, then we encourage you to apply.
Primary activities include, but are not limited to:
- Principal responsibility for managing the day-to-day activities for the program
- Contribute to asset identification
- Lead the maintenance and lifecycle tracking of assets
- Coordinate external monitoring strategies and communications
- Perform data analysis to derive insight and identify potential opportunities for the organization
- Deliver routine metrics to leadership to provide insight about activities their organization
- Identify patterns and trends in large datasets to extract actionable insights
- Utilize complex analytical techniques to enhance data processing capabilities
- Conduct in-depth data analysis to understand data relationships and inform decision-making processes
- Develop and maintain dashboards, KPIs, and reporting for research data protection and insider risk activities
- Analyze patterns in research data movement, access, and handling to identify risk trends and improvement opportunities
- Partner with R&D stakeholders to understand research workflows and apply risk-based protection controls
- Support asset identification and lifecycle tracking for critical research data and other crown jewel assets
- Translate analytical findings into recommendations for leadership and program strategy
- Partner closely with cross-functional teams to communicate data-driven recommendations and findings to stakeholders at various levels, including senior management
- Collaborate with team members to define key metrics and develop analytical frameworks
- Building stakeholder engagement through targeted outreach and communications
- Cultivating strategic partnerships, understanding business needs, establishing rapport, and nurturing open communication to facilitate development of client focused programs and initiatives
- Agent for change in how we do our work
- Contributes to assessment of current and future information needs
- Strong commitment to compliance and ethical standards in data handling and analysis
Education/
Experience:
- Bachelor's and 9+ years of experience
- Master's and 7+ years
- PhD and 3+ years
Required:
- Experience with data loss prevention and information protection strategies
- Strong information governance skills, including identifying sensitive data, applying data classifications, mapping data handoffs/transfers across systems, and defining KPIs
- High degree of scientific literacy, enabling effective risk prioritization and the development and continuous enhancement of data protection
- Experience creating or evolving policies, standards, and procedures for information protection, with a strong commitment to compliance and ethical standards
- Experience with programming languages such as Python or R, and proficiency in SQL for data extraction, manipulation, and analysis
- Ability to consolidate, interpret, and derive insights from complex datasets, and effectively communicate findings to both technical and non-technical audiences
- Ability to maintain in-depth knowledge of the research pipeline, disease and therapeutic areas, and relevant industry trends
Collaboration & Communication:
- Work collaboratively in a…
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