Job Description About the role: As a Senior Manager Data Engineering, you will lead a team of Data Engineers focused on enabling high-impact Data & AI use cases that generate meaningful business insights. This role combines leadership with a strong focus on delivering data products that directly support decision-making and drive value across the organization. You will play a key role in connecting data engineering with business needs, ensuring that data is transformed into actionable insights that shape the future of digital healthcare. You will operate in a Data Analytics Product environment, where cross-functional teams build and own data products at scale, with clear ownership, standards, and a strong focus on business impact and adoption. About the tech stack: Azure, Databricks (Unity Catalog & Delta Lake), DBT, Spark, SQL, Python, CI/CD pipelines About your tasks: Lead and develop a team of Data Engineers, creating an environment where people grow and deliver impactful work. Drive the development of data models and pipelines that enable high-quality, reliable insights for business stakeholders. Collaborate closely with stakeholders to translate business questions into data-driven solutions across domains like e-commerce, finance, and supply chain. Stay close to the data and hands-on when needed, ensuring best practices in data modeling, quality, and usability. Promote a culture of data-driven decision-making, enabling teams across the organization to leverage data effectively. Contribute to the development and scaling of data products, ensuring consistency, quality, and reusability across domains.