Clinical Data Enablement Manager

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Provide comprehensive support for clinical data pipelines within data lake and data warehouse settings.

• Develop, enhance, monitor, maintain, and troubleshoot ETL/ELT workflows and data integrations.

• Create and support cloud-based data ingestion and transformation processes within AWS and/or Azure.

• Carry out monitoring, alert management, incident investigations, and root cause analyses.

• Implement automation for scheduling, data ingestion, quality assurance, and operational efficiency.

• Design and uphold dashboards and visualizations that reflect pipeline performance, data quality, and operational metrics.

• Collaborate with internal teams, vendors, and stakeholders regarding data transfers, validations, reconciliations, and issue resolutions.

• Work closely with Statistical Programming, SDTM, Clinical Data Programming, and Analytics teams to fulfill data requirements.

• Assist in KPI reporting and ensure timely, high-quality data delivery.

• Maintain controlled documentation, testing evidence, and traceability for regulated clinical processes.

• Apply data integrity principles while supporting GxP compliance, audit readiness, security, access controls, and data governance standards.

⛳️ Requirements

• Bachelor’s degree (or equivalent) with at least 5 years of experience in data engineering, pipeline development/operations, and multi-source data integration.

• Basic SQL skills are essential.

• Knowledge of fundamental data modeling and data quality checks.

• Familiarity with integration patterns; exposure to NoSQL is advantageous.

• Proficient in Python (preferred) or R.

• Experience in building or supporting pipelines with essential testing, logging, and monitoring.

• Familiarity with Agile/SDLC methodologies.

• Practical experience in designing and supporting operational dashboards and data visualizations using Power BI, Tableau, and/or QlikView.

• Understanding of CDISC/CDASH/SDTM concepts (preferred).

• Hands-on experience with CSV, JSON, XML, and file/API-based integrations.

• Exposure to AWS and/or Azure, as well as modern data platforms such as Snowflake, Databricks, and Spark (preferred).

• Working knowledge of GitHub/GitLab for version control.

• Experience or exposure to GxP-regulated practices and data integrity expectations (preferred).

• Strong collaboration and communication skills; organized, detail-oriented, proactive, and capable of prioritizing tasks to meet deadlines.

• Prior experience in supporting regulatory inspections/audits is preferred.

• AWS/Azure and/or Python certification is preferred.

🏝️ Benefits

• Equal opportunities employer.

• Inclusive and diverse working environment.

• AI-assisted recruitment process featuring employee-created assessments and hiring decisions.