Director, Data Integration Engineer

Role: Data Integration Engineer specializing in Medical Affairs AI solutions, responsible for designing, building, and maintaining data pipelines that source and integrate enterprise data into AI platforms. Objectives include ensuring reliable, governed data access for AI/ML applications, supporting data patterns like RAG, vector databases, and graph retrieval. Responsibilities encompass creating reusable, production-grade data pipelines, implementing data governance and compliance (GDPR, HIPAA, GxP), and partnering with architecture and product teams to align data strategies. The role demands hands-on engineering expertise in SQL, APIs, cloud data platforms (e.g., Snowflake), and AI data patterns, with a focus on data quality, latency, and security, including PI/PII handling. Qualifications include 8+ years of data engineering experience, a Bachelor’s in Computer Science or related field, proficiency in ETL/ELT, API design, and experience with regulated industry standards. Preferred qualifications include pharma or life sciences experience, knowledge of Veeva CRM, and advanced degrees. The role supports cross-functional collaboration across engineering, architecture, and Medical Affairs, operating in a hybrid NYHQ or PA-Collegeville setup with travel as needed. The position offers a competitive salary range and comprehensive benefits, with expectations for working during off-hours occasionally to coordinate global efforts.