Director, Data Enablement, Reporting

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Define, implement, and manage data enablement and reporting analytics throughout the R&D organization.

• Propel R&D data strategy to foster a data-centric culture and ensure data readiness for AI in alignment with FAIR principles.

• Execute programs that support data utilization initiatives and uphold information governance policies.

• Lead the preparation for AI readiness concerning R&D data, data quality, clinical trial reporting, and analytics.

• Provide sophisticated reporting through Gen AI solutions and assist in the development of Gen BI solutions.

• Collaborate with R&D, Biostatistics, Clinical Data Management, Statistical Programming, Real World Data Analytics, Data Enablement/Governance, and IT partners.

• Create and operationalize a roadmap for the R&D data strategy and the data governance framework.

• Supervise metadata management, semantic annotation, data cataloging, and tracking data lineage.

• Set data quality standards, KPIs, and initiate remediation efforts.

• Convert stakeholder processes and AI requirements into a prioritized AI portfolio.

• Develop operational AI use cases spanning analytics, traditional AI/ML, and Gen AI.

• Deliver governed data products and analytical reports that support strategic insights and enhance operational efficiency.

• Collaborate on scalable data models, data lakes, and visualization tools for self-service analytics.

• Establish and track SLAs and usage metrics for data products and reporting dashboards.

• Communicate governance priorities, reporting metrics, and value realization to executives and stakeholders.

• Translate R&D needs into data and governance initiatives.

• Identify AI opportunities to automate reporting analytics and governance workflows.

• Lead, mentor, and cultivate a high-performing data and reporting team.

• Promote data and AI awareness, ownership, and stewardship across R&D.

• Oversee analytics and reporting for Clinical Trial operations.

⛳️ Requirements

• Master’s or Ph.D. in a quantitative field such as Data Science, Bioinformatics, Statistics, Computer Science, or a related discipline.

• 8–10+ years of experience in data management, data governance, stakeholder management, or a similar role within the pharmaceutical, biotech, or life sciences sectors.

• Demonstrated success in defining, implementing, and operationalizing data governance frameworks and providing strategic reporting in a regulated (GxP) environment.

• In-depth knowledge of R&D data and information domains, including clinical trials, drug development, external real-world data, genomics, and data from digital devices and sensors.

• Familiarity with data standards such as CDISC and regulatory compliance requirements.

• Experience working alongside data science and AI teams.

• Understanding of the modern data stack, including cloud platforms, data lakes, and data catalogs.

• Acquainted with contemporary DSPM and Data Governance solutions.

• Strong leadership, communication, and change management abilities.

• Capacity to influence senior stakeholders within a complex, matrixed organization.

• Excellent stakeholder management skills.

• Ability to explain intricate technical concepts to non-technical audiences.

🏝️ Benefits

• Comprehensive medical, dental, vision, and prescription drug coverage.

• Company-funded basic life insurance.

• Accidental death and dismemberment insurance.

• Short-term and long-term disability insurance.

• Tuition reimbursement program.

• Student loan assistance.

• Generous 401(k) matching.

• Flexible time off policies.

• Paid holidays.

• Paid leave programs.

• Additional company-provided benefits.

• Incentive opportunities.