Director, Enterprise Data

Responsibilities

• Data Architecture and Platform Leadership
• Architect and implement enterprise-grade data platforms in Azure, supporting structured and unstructured data across clinical and corporate domains.
• Design and maintain scalable data pipelines and repositories that support real-time and batch processing.
• Ensure data integrity, security, and compliance with GxP and regulatory standards.


• Operational & Enterprise Data Strategy
• Map and optimize end-to-end data flows across clinical operations, including study startup, site management, patient recruitment, and monitoring.
• Extend data architecture and analytics capabilities to support Finance, HR, BD, and other internal functions.
• Integrate data from leading clinical applications such as Veeva Vault Clinical, CTMS, and EDC systems, as well as ERP, HRIS, and CRM platforms.
• Value-driven Insights & Innovation
• Use data to drive measurable improvements in clinical operations (e.g., optimizing site selection, accelerating patient recruitment, and reducing trial timelines)
• Move beyond traditional dashboards to develop novel, predictive, and prescriptive analytics that uncover hidden patterns and inform strategic decisions.
• Collaborate with stakeholders to identify high-impact use cases where data can solve real business problems.


• Governance & Compliance
• Implement right-sized data governance frameworks that balance agility with regulatory compliance.
• Define data stewardship roles, metadata management practices, and data quality standards.
• Lead data audits and ensure readiness for regulatory inspections.


• Analytics, BI, AI/ML Enablement
• Build and scale business intelligence platforms that deliver actionable insights to clinical and corporate stakeholders.
• Enable internal functions (i.e., Clinical Data Sciences) by providing the data architecture, infrastructure, and tooling necessary to deliver study-level reporting and analytics to clients.
• Partner with data scientists to deploy AI/ML models that improve forecasting, risk detection, and operational
• efficiency.
• Champion the use of predictive analytics and automation to enhance trial execution and enterprise decision-
• making.


• Leadership & Collaboration
• Build and mentor a high-performing data and BI team, including data engineers, analysts, and architects.
• Foster a culture of data-driven decision-making and continuous improvement.
• Communicate technical concepts and insights effectively to executive leadership and cross-functional teams.

Qualifications

• Education & Experience: Bachelor's degree + a minimum of 10 years' related experience in large scale organizational data strategy and leadership; 15+ years preferred. An equivalent combination of education and experience may be considered given the competencies needed for the role (outlined below) can be demonstrated.


• Data Architecture Expertise: 10+ years in enterprise data architecture, with deep experience in Azure data services (e.g., Data Lake, Synapse, Databricks, etc.), ETL/ELT pipelines, and data modeling.
• Clinical Operations Understanding: Strong grasp of clinical trial workflows and operational data flows within CROs or life sciences organizations.
• Enterprise Data Support: Experience supporting data needs across Finance, HR, BD, and other corporate functions.
• Value Creation from Data: Demonstrated success in using data to drive business outcomes, such as improving site selection, patient recruitment, cost forecasting, or operational efficiency.
• Governance & Compliance: Experience implementing data governance in regulated environments, with knowledge of GxP, GDPR, and HIPAA.
• AI/ML Exposure: Familiarity with deploying or leveraging machine learning models in production, ideally within healthcare or clinical research settings.
• Application Integration: Experience integrating data from clinical systems such as Veeva Vault Clinical, CTMS, and EDC platforms, as well as ERP and HRIS systems.
• Other technical requirements: Proven success in building BI platforms (e.g., Power BI, Tableau) and enabling self-service analytics across business units; Experience utilizing Microsoft Fabric.
• Strategic Vision & Execution: Ability to align data initiatives with business goals and communicate effectively with technical and non-technical stakeholders.
• Team Leadership: Track record of building and leading high-performing data teams in fast-paced, mission-driven environments