Senior Data Architecture & Programs Lead

MSD; Guaduas; Híbrido; COP 90.000.000 - 140.000.000; Jornada completa

Descripción de la vacante

Merck & Co., Inc. is seeking an Associate Director to lead a programming and reporting team, setting goals, coaching performance, and guiding onboarding. You will provide hands-on technical review, enforce SOPs, manage workload, and drive best practices across EDC, RTSM, and eCOA/ePRO platforms.

You will oversee data engineering, governance, and cross‑functional collaboration with global teams, advancing automated validation, reusable components, and scalable analytics in a hybrid work model.

Formación

• Experience leading programming and data engineering teams in clinical environments.
• Strong background in data standards, validation, and regulatory compliance.
• Proven ability to design scalable data models and automated testing.

Responsabilidades

• Lead design and deployment of clinical technology system solutions (EDC, RTSM, eCOA/ePRO).
• Provide technical oversight for programming, reporting, and data integration.
• Define governance, standards, and reusable assets across portfolios.
• Drive process improvements, testing strategies, and traceability.
• Coach and mentor teams, manage workload, and align with global partners.

Conocimientos

SQL

Python

SAS

Data Visualization

Educación

Bachelor of Arts / Sciences in clinical data programming or related field

Advanced Degree (Master's/Doctorate) with 4+ years in clinical data programming or data engineering

Herramientas

EDC Platforms

Data Integration Tools

SAS Studio

Descripción del empleo

Merck & Co., Inc. is seeking an Associate Director to lead a programming and reporting team, setting goals, coaching performance, and guiding onboarding. You will provide hands-on technical review, enforce SOPs, manage workload, and drive best practices across EDC, RTSM, and eCOA/ePRO platforms.

You will oversee data engineering, governance, and cross‑functional collaboration with global teams, advancing automated validation, reusable components, and scalable analytics in a hybrid work model.