Senior Manager, Artificial Intelligence Data Engineer

Role: Senior Data Engineer specializing in life sciences/healthcare data infrastructure, leading efforts to modernize clinical data pipelines and architecture within a digital transformation initiative. Responsibilities: design and optimize interoperable data models, develop scalable pipelines for structured/unstructured data, implement data governance and quality monitoring tools, facilitate adoption of modern data platforms (e.g., Snowflake, Databricks), and support AI/ML integration. Collaborate with cross-functional teams including informatics and AI engineers, and provide technical mentorship. Requirements: advanced degree in computer science, biomedical informatics, or related field; minimum 5 years’ experience in data engineering within life sciences or healthcare; expertise in cloud platforms (AWS, Azure, GCP), modern data platforms, SQL, Python, R; familiarity with clinical data standards (CDISC, HL7, FHIR), and regulatory frameworks (HIPAA, GDPR, 21 CFR Part 11). Preferred: certifications in cloud architecture, experience with machine learning pipelines. HighValue: clinical/biomedical data, cloud architecture, data governance, automation, compliance standards. Work setup: offices in Tarrytown, NY; Armonk, NY; Warren, NJ; potential travel up to 20%.