Associate Director - Data Engineering

AD Data Engineering

Job Description Summary

Are you ready to shape the future of data engineering in life sciences? As a Data Engineer Associate Director, you’ll lead the data engineering team and support the data science team inbuilding scalable Commercial solutions to enhance the medical/sales representative actionable. You’ll be at the forefront of cloud-based data integration, driving automation, quality, and efficiency while collaborating with cross-functional teams to deliver impactful insights. This is your opportunity to make a real difference in global healthcare through cutting-edge data engineering.

Job Description

Major accountabilities:

• Design scalable data ingestion and integration solutions for TRD data platforms.

• Ensure data quality by applying business and technical rules throughout its lifecycle.

• Identify and implement automation opportunities to streamline data processes.

• Build data pipelines using Python and CI/CD workflows for seamless data integration.

• Collaborate with solution architects and vendors to align with best practices.

• Apply data management principles including modeling, harmonization, and ontology standards.

• Manage metadata effectively and leverage enterprise ontology tools.

• Ensure adherence to FAIR data principles across applicable projects.

• Conduct feasibility assessments and define project requirements with stakeholders.

• Support end-user training and promote self-service data capabilities. 

Minimum Requirements:

• University degree in Informatics, Computer Sciences, Life Sciences, or a related field.

• Minimum 14 years of experience in data engineering with good understanding of  healthcare or life sciences. Experience with Commercial is a plus.

• Proven expertise in Python and R for ETL and BI data product development.

• Strong experience with Snowflake, DevOps, AWS cloud data integration and third-party ingestion tools.

• Proficiency in SQL for relational databases such as Oracle and/or MS SQL Server.

• Hands-on experience with ETL tools like Alteryx and BI platforms like Power BI.

• Solid understanding of data architecture, modeling, and analytics concepts.

• Familiarity with Agile methodologies

Skills Desired

Agility, Cross-Functional Collaboration, Customer Engagement, Customer Experience, Customer Insights, Data Analytics, Data Strategy, Digital Marketing, Marketing Strategy, Media Campaigns, Product Marketing, Stakeholder Engagement, Stakeholder Management, Waterfall Model

Experience Level

Senior Level