Director Analytics Infrastructure, Pipeline Operations

Role: Director of Analytics Infrastructure & Pipeline Operations, focusing on building AI-powered automated data pipelines and scalable data repositories to enhance enterprise data science and analytics capabilities. Responsibilities include designing self-healing, AI-integrated data workflows; developing centralized feature stores; creating curated datasets for training, evaluation, and deployment; and establishing monitoring and SLAs for data quality and availability. The role involves partnering with IT to optimize architecture, integrating diverse data sources like sales, CRM, claims, and unstructured data, and enabling self-service data access for data scientists. Qualifications: Advanced degree in Computer Science, Data Engineering, or related field; 10+ years in data engineering, ML/AI infrastructure; 5+ years leading enterprise-scale data platform teams; expertise in feature store technologies (Feast, Tecton, SageMaker, Databricks); proficiency in Python, SQL, Spark/PySpark; experience with orchestration tools (Airflow, Prefect, dbt) and data governance (HIPAA, GDPR). Preferred: Proven AI/ML automation in data workflows; experience in pharma, healthcare, or life sciences; familiarity with streaming, MLOps, data lakehouse architectures. The position is remote within the U.S., with 20% travel expected, offering a salary range from $194,600 to $361,400, plus benefits and performance incentives.