Senior Clinical Data Enablement Manager - UK or Poland

We are seeking an experienced Senior 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 Senior 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 7+ years in data engineering, pipeline development/operations, and multi-source data integration (clinical/biopharma preferred).
• Core skills: Strong SQL, data modeling, and data quality controls; working knowledge of NoSQL and integration patterns.
• Programming/SDLC: Proficiency in Python (preferred) or R; experience building production pipelines (testing, logging, monitoring); familiarity with SDLC practices; Jira/Confluence required.
• Data Standards: Knowledge of CDISC, CDASH, and SDTM standards preferred.
• 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 Formats and Interfaces: Hands-on with CSV, JSON, XML, and API/file-based integrations.
• Cloud/platforms: Cloud experience (e.g., AWS such as EC2/EMR/RDS/Redshift/Apache Spark) and related platforms (e.g., Snowflake, Databricks). Pipeline and platform expertise: reusable ELT/ETL frameworks; data warehouse/data lake technologies (e.g., Snowflake, Amazon Redshift); large-scale pipeline performance and maintenance.
• DevOps: GitHub/GitLab version control; CI/CD exposure preferred.
• GxP & Data integrity: Experience working in GxP-regulated environments with change control/audit readiness expectations; ability to embed data integrity controls into pipelines and operations.
• Ways of working: mentor junior engineers/FSPs; independent and collaborative problem solving; ability to prioritize in a fast-paced environment and deliver to deadlines.
• Working style: Strong collaboration and communication; organized, self-directed, proactive problem-solver.
• Prior regulatory inspection experience preferred.
• Preferred: AWS/Azure and/or Python certification.