This role leads a cross-functional technical team to drive innovation across the Revenue Management and data ecosystem at Amgen
Job Summary
This role leads a cross-functional technical team to drive innovation across the Revenue Management and data ecosystem at Amgen.
The ideal candidate will foster a culture of innovation while delivering scalable, high-quality solutions using automation and AI capabilities.
Candidates must possess strong technical leadership experience and the ability to manage complex integrations across platforms like SAP, Model N, and Databricks.
Matching Summary
This role leads a cross-functional technical team to drive innovation across the Revenue Management and data ecosystem at Amgen.
Skills & Requirements
Must-have
12-16 years Information Systems experience
5+ years managing software engineering teams
2+ years applying AI-enabled solutions
Experience with Databricks and AWS Redshift
SAFe Agile methodology expertise
Model N and MuleSoft platform knowledge
Nice-to-have
High learning agility and ownership drive
Databricks Data Engineering certification
Proficiency with Azure OpenAI services
Strong stakeholder negotiation skills
Experience with global cross-functional teams
Key Requirements
Master's degree with 12-16 years experience OR Bachelor's with 14-17 years
5+ years managing software engineers
2+ years experience with Generative AI in workflows
SAFe Certification preferred
Data Engineering or Analytics certification preferred