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The role involves driving strategic transformation within the Finance Data Strategy team by integrating AI and advanced technologies to improve finance operations, ensuring project alignment with strategic goals. Responsibilities include collaborating across teams to standardize financial data, developing KPIs, and promoting data literacy within the organization.

The Sr. Process Engineer will provide engineering support in the bioprocess pilot plant, troubleshooting equipment issues, supporting tech transfers, and ensuring compliance with quality and engineering standards. Responsibilities include monitoring processes, performing risk assessments, and optimizing operations while collaborating across multiple departments.

The Data Architect will provide architectural guidance and develop a roadmap for the data domain, collaborating with stakeholders to drive innovation and establish data standards. This role includes designing scalable data architectures, integrating data solutions, and ensuring compliance with best practices in data management.

Lead the development of software solutions for modular content in marketing, ensuring alignment with IT architecture while providing mentorship and guidance to the BRIX development team. Oversee system designs, coding standards, and the adoption of new technologies in an Agile environment.

Looking for a highly skilled Finance Analytics professional to join the Finance Data Strategy team. Responsibilities include developing data models, conducting advanced financial analytics, and driving the analytics agenda to enhance decision-making and financial performance.

The Full Stack Lead will design, develop, and maintain web applications and manage cloud infrastructure. Responsibilities include coding in Python and JavaScript, creating backend services, and optimizing AWS resources. The role requires collaboration with teams to ensure software quality and system stability.

At Lilly, we are looking for a DevOps professional to work with stakeholders to define service level objectives (SLOs) for system operations, collaborate with development teams on reliability engineering, automate manual operational work, perform analytics on incidents, recommend monitoring tools, and drive continuous improvement in software quality and infrastructure reliability.