Job Description
Role Overview
The Associate Director, Study Data Services leads and develops a programming and reporting team - set goals, assign work, coach performance, and manage recruiting/onboarding - while communicating status and risks to leadership and partners. Provide hands-on technical review, solutioning support, enforce SOPs/standards, manage workload and prioritization, track quality and timelines, and drive best practices (code review, reusable components, test automation) and continuous improvement.
Responsibilities
Programming and reporting
- Lead design and deployment of clinical technology system solutions (e.g., for EDC [Electronic Data Capture], RTSM [Randomization and Trial Supply Management], and eCOA/ePRO [electronic Clinical Outcomes Assessment/ electronic Patient-Reported Outcomes]) using programming frameworks and automation tools.
- Provide technical oversight for clinical programming, reporting, and data integration across portfolios.
- Recommend and implement tools to streamline design, build, and validation processes.
- Apply data literacy to design transformation strategies for actionable insights.
- Develop advanced reporting solutions (dashboards, listings, visual analytics) with reusable components and role-based access.
Data Engineering
- Define and govern integration architecture, including data sources and transformation workflows.
- Ensure consistent implementation of enterprise standards and reusable assets.
- Monitor and troubleshoot data ingestion and consumption for reliability.
- Automate and strengthen data engineering processes to reduce risk and improve efficiency.
- Develop robust data models, semantic layers, and curated datasets; enforce quality checks.
Process
- Drive process optimization by identifying gaps and implementing improvements.
- Translate strategy into clear priorities, roadmaps, and ways of working for assigned domains.
- Lead testing strategies for solutions; automate validation and ensure traceability.
- Contribute to resource planning and workload distribution across global teams.
- Set documentation and audit standards; ensure compliance through rigorous change management.
- Lead cross-functional collaboration, meetings, and enterprise-level improvement programs.
- Influence adoption of data standards, tools, and automation for better delivery and decision-making.
- Provide leadership, coaching, and mentoring to build capabilities and foster a culture of quality and collaboration.
- Support release management across environments; align stakeholders, lead UAT (User Acceptance Training), and improve reporting standards.
- Partner across teams to turn data and technical findings into clear, actionable recommendations
- Act as a reliable partner to GDMS and other cross-functional teams, actively seeking input, aligning on priorities, and closing feedback loops to drive high-quality, coordinated delivery.
People management
- Align teams around a clear direction; set clear objectives aligned to organizational goals; assign work and set priorities accounting for work-life balance sustainability.
- Conduct regular check-ins and annual reviews; coach for performance; provide recognition.
- Develop career plans; create growth opportunities and promotion cases; ensure appropriate training and mentoring.
- Coordinate onshore/offshore and contingent resources; ensure role clarity