Senior Data Engineer

Summary At Novartis we are reimagining medicine by using data and digital technologies to transform how we engage with patients healthcare professionals and healthcare systems As a Senior Data Engineer within the Data Digital Commercial organization you will lead the technical foundation of AI-powered commercial solutionsxe2x80x94helping drive more effective engagement access and performance globally and within local markets This mid-management role blends hands-on data engineering with delivery oversight vendor management and stakeholder collaboration You ll help create the pipelines and data platforms that enable AI ML applications in sales effectiveness omnichannel marketing customer segmentation and real-world commercial insights Roles and Responsibilities Lead the design development and deployment of scalable production-grade data pipelines for commercial AI products Manage technical delivery from vendor partners ensuring high-quality output aligned with Novartis standards timelines and budgets Serve as a bridge between business stakeholders global and country-level commercial teams and engineering translating business needs into actionable data solutions Integrate and harmonize complex data from multiple sources including internal systems Veeva CRM sales ops and third-party providers Apply and promote data governance lineage tracking and data quality monitoring aligned to compliance needs Recommend innovative data engineering solutions and best practices that enhance the performance and efficiency of the data infrastructure Collaborate with AI ML engineers to ensure data readiness for model training scoring and operationalization Guide and mentor junior data engineers while contributing to the growth of the commercial data engineering capability within Novartis Essential Requirements Bachelors or masters degree in computer science engineering or related field 7 years of experience in data engineering including at least 2 years in a leadership or delivery oversight role Strong hands-on experience with Python SQL Spark PySpark and tools like Databricks Airflow Snowflake Azure Data Factory Demonstrated ability to manage vendor teams and ensure quality delivery across geographically distributed teams Strong communication and stakeholder management skills experience working with commercial business leads in pharma or life sciences Basic understanding of pharmaceutical commercial data at both country and global levels including CRM data sales performance data field force activity and syndicated datasets Familiarity with privacy and compliance frameworks relevant to healthcare data HIPAA GDPR GxP Experience working in Agile cross-functional product teams Preferred Qualifications Direct experience in pharma commercial domains such as market access promotional analytics or omnichannel customer engagement Knowledge of HCP HCO identity resolution customer 360 strategies or AI-based targeting and segmentation use cases Exposure to MLOps workflows and how data pipelines support AI product deployment at scale Commitment to Diversity and Inclusion Novartis is committed to building an outstanding inclusive work environment and diverse teams representative of the patients and communities we serve Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities If because of a medical condition or disability you need a reasonable accommodation for any part of the recruitment process or in order to perform the essential functions of a position please send an e-mail to and let us know the nature of your request and your contact information Please include the job requisition number in your message Skills Desired Apache Hadoop Applied Mathematics Big Data Curiosity Data Governance Data Literacy Data Management Data Quality Data Science Data Strategy Data Visualization Deep Learning Machine Learning Ml Machine Learning Algorithms Master Data Management Proteomics Python Programming Language R Programming Language Statistical Modeling