Director, Data Engineering Lead - Digital Insights

DSCS Digital Technologies: Digital Insights - Director, Data Engineering Lead We are a global biopharmaceutical leader with a portfolio of prescription medicines, oncology, vaccines and animal health products. We are driven by our purpose to develop and deliver innovative products that save and improve lives. With 69,000 employees operating in more than 140 countries, we offer state of the art laboratories, plants and offices that are designed to inspire our employees as we learn, develop and grow in our careers. We are proud of our over 125 years of service to humanity and continue to be one of the world’s biggest investors in Research & Development. We are seeking a Director, Data Engineering Lead to join our Digital Insights (DI) team within the Development Sciences and Clinical Supply (DSCS) Digital Technologies organization (DDT). Digital is the multiplier that will allow DSCS to deliver better experiments faster, efficient filing and launch, more robust supply chains and higher-confidence decisions across the portfolio. The DSCS Digital Technologies organization is responsible for the invention and application of new digital tools/workflows to support scientists across drug substance development, drug product development and analytical development. We aspire to embed digital technologies into the fabric of DSCS culture to drive transformational impact across the CMC space. In this role, the Director, Data Engineering Lead will lead a small team of data engineers responsible for transforming complex scientific and operational data into trusted, analysis-ready data products and digital workflows. This Director, Data Engineering Lead will sit on the Digital Insights leadership team to set data engineering strategy and project prioritization for Digital Insights. They will partner with DI and DDT leadership to ensure connectivity across matrixed data engineering efforts. This role serves as a critical bridge across scientific domains, digital platforms, and advanced analytics, ensuring that data is structured, contextualized, FAIR, and AI-ready. The successful candidate will build, develop, and lead a high-performing data engineering team. This team will create scalable data pipelines for laboratory data, harmonized data models, ontologies, and reusable digital assets. Responsibilities will include supporting biologics development, including analytical characterization, drug substance and drug product process development, laboratory operations, predictive sciences, and emerging AI applications, with subsequent expansion to other modalities. The role demands strong technical leadership, organizational influence, and the ability to partner closely with scientists, data scientists, software engineers, and business stakeholders across CMC and IT, thereby accelerating digital transformation.

Lead, coach, and develop a team of business side data engineers supporting prioritized programs. Establish data engineering standards, development practices, and code quality expectations. Foster a collaborative, innovative, and customer-focused team culture. Manage resource allocation, prioritization, and execution across concurrent initiatives. Partner with the Digital Insights leadership team to define and execute the Digital Insights data engineering strategy aligned with DDT objectives. Lead the design, development, and maintenance of scalable, reliable, and reusable data pipelines. Drive development of domain-specific and cross-domain data products supporting analytics, visualization, modeling, and AI use cases. Lead implementation of data quality monitoring, lineage, metadata management, and governance practices. Partner with laboratory scientists, process developers, pipeline leaders, modelers, and digital product teams to understand scientific workflows and translate requirements into data solutions. Accelerate availability of scientific data from laboratory instruments, ELNs, manufacturing