We are seeking a skilled Senior / Data Engineer to lead end-to-end data solutions, from mapping business needs through development and implementation. This role requires a strong technical background to design, build, and maintain data pipelines and automation processes that support data-driven decision-making within the Clinical Research department. The position combines hands-on data engineering, analytics, and dashboard development, with a focus on building reliable data infrastructure and enabling AI-driven initiatives.
The Senior / Data Engineer - Automation, Analytics & AI (AA & AI) operates at the country level within GCTO RRO to identify, design, and deliver technology-enabled solutions that improve clinical trial operations efficiency, quality, and compliance. The role leads the intake, assessment, and delivery of local automation, analytics, and AI initiatives, creates compelling business cases, builds or oversees development of country tools, and scales fit-for-purpose solutions to other countries or the Region when applicable.
The Senior / Data Engineer - Automation, Analytics & AI (AA & AI) reports to the Clinical Operations Manager Lead (COM Lead) and partners closely with country, regional and headquarters roles and teams, such as, Regions Operational Excellence (ROE), regional/country stakeholders, Automation/Analytics/AI partners and, as needed, IT. As needed, the Sr BA may also support initiatives driven by Regional Operations teams, such as GSA, GTO, GSBP and EDM. The role ensures adherence to ICH GCP, company policies, and local regulations, and drives measurable impact through robust KPIs and change enablement.
Requirements: Educational Requirements:
Bachelors degree in science discipline, , computing science, engineering, mathematical, statistics or related field.
Required Experience:
Minimum of 2 years or 5 years for Senior position of relevant hands on experience in building end to end data piplines and analyticswhich includes:
Successfully designing and delivering automation/analytics/AI-enabled solutions (e.g., dashboards, workflow automation, AI/ML solutions, ETL procceses) that produced measurable improvements.
Experience coordinating cross-functional stakeholders, with hands-on project management in a matrix environment.
Preferred Experience:
Experience working across multiple countries or in regional programs.
Exposure to integrations with IT/data science teams and vendor coordination.
Required Knowledge, Skills and Abilities:
Business process modeling and requirements techniques: e.g., process mapping, user stories, acceptance criteria, functional specifications
End-to-end product and solution ownership mindset: with accountability for value delivery across the full solution lifecycle (ideation, MVP, rollout, scaling, maintenance, and retirement).
Data literacy and analytics: ability to translate business questions into metrics; hands-on with BI tools (e.g., Power BI/Tableau) and data querying basics (SQL or equivalent).
Automation/AI awareness: practical experience with workflow automation/RPA platforms; exposure to AI/ML use cases and constraints in clinical operations.
Program/project management: planning, prioritization, risk/issue management, and delivery at pace; comfortable with Agile/Lean practices
Communication & influence: excellent English communication; ability to influence across functions and present technical topics to non-technical audiences.
Change enablement: stakeholder engagement, training, and adoption support.
This position is open to all candidates.