Clinical Data Enablement Manager

We are seeking an experienced Clinical Data Enablement Manager (FSP) to support and enhance clinical data operations across modern cloud-based data platforms. This is an exciting opportunity for a data professional with strong technical expertise in data engineering, ETL/ELT development, cloud technologies, and clinical data environments to play a key role in enabling efficient, reliable, and compliant clinical data delivery. Working within our Data Management team, you will help drive the operation, monitoring, maintenance, and continuous improvement of clinical data pipelines that underpin critical clinical development activities. What You'll Be Doing As a Clinical Data Enablement Manager, you will: • Support end-to-end clinical data pipelines across data lake and data warehouse environments, ensuring reliable and traceable operations. • Build, enhance, monitor, maintain, and troubleshoot ETL/ELT workflows and data integrations. • Develop and support cloud-based data ingestion and transformation processes within AWS and/or Azure environments. • Assist with operational support activities including monitoring, alert management, incident investigation, and root cause analysis. • Implement automation solutions for scheduling, data ingestion, quality checks, and operational efficiency. • Design and maintain operational dashboards and visualizations to monitor pipeline performance, data quality, and key operational metrics. • Collaborate with internal teams, vendors, and stakeholders to support data transfers, validations, reconciliations, and issue resolution. • Partner closely with Statistical Programming, SDTM, Clinical Data Programming, and Analytics teams to understand and deliver data requirements. • Support KPI reporting and contribute to on-time, high-quality data delivery. • Maintain controlled documentation, testing evidence, and traceability in support of regulated clinical processes. • Apply data integrity principles and support compliance with GxP, audit readiness, security, access controls, and data governance standards. Education & Competencies: • Education/Experience: BS/BA (or equivalent) plus 5+ years in data engineering, pipeline development/operations, and multi-source data integration (clinical/biopharma preferred). • Core skills: Foundational SQL skills; understanding of basic data modelling and data quality checks; familiarity with integration patterns (NoSQL exposure a plus). • Programming/SDLC: Proficiency in Python (preferred) or R; exposure to building/supporting pipelines with basic testing, logging, and monitoring; familiarity with Agile/SDLC concepts; Jira/Confluence experience preferred (or ability to learn quickly). • Visualization & Reporting (for Reporting role): Hands-on experience designing and supporting operational dashboards and data visualizations using tools such as Power BI, Tableau, and/or QlikView, with an understanding of data refresh, access controls, and performance considerations. • Data standards (preferred): Awareness of CDISC/CDASH/SDTM concepts and willingness to learn how standards impact downstream clinical deliverables. • Data formats & Interfaces: Hands-on with CSV, JSON, XML and file/API-based integrations; able to follow transfer specifications and validate outputs. • Cloud/platforms (preferred): Exposure to AWS and/or Azure and modern data platforms (e.g., Snowflake, Databricks, Spark); ability to implement within established frameworks and standards. • DevOps: Working knowledge of GitHub/GitLab version control; CI/CD exposure is a plus. • GxP & Data integrity (preferred): Experience or exposure to GxP-regulated practices (documentation, change control, audit readiness) and understanding of data integrity expectations; able to follow controlled procedur