Senior Manager - Patient Data Management

About the role

Amgen's Patient Data Management Senior Manager builds and grows the Patient Data Management team and capabilities, bringing in-house work from external vendors to drive operational excellence in the Innovation Center in India. The role works with data and analytics colleagues across the organization to manage patient data assets such as those from Patient Support Programs and Specialty Pharmacy contracts, and to govern secure access to them.

Key responsibilities

• Define use cases with data and analytics leads and deliver high-quality data supporting longitudinal patient journey analytics.
• Curate data end to end, including aggregation, processing, integration and secure access, in line with Amgen privacy and compliance SOPs.
• Connect first-party and third-party syndicated data to enable analytics across the patient journey.
• Improve productivity and cycle times through automation of data processing and data quality.
• Support patient data contracting with Specialty Pharmacies and Sites of Care organizations.
• Develop guidelines and SOPs for access and use of Patient Data, with input from Legal, Privacy and Compliance.
• Standardize data deliverables, including source data layouts, reference data and reporting solutions.
• Oversee outsourced data aggregation vendors and their compliance documentation.
• Build partnerships with Commercial Analytics, Data Platforms, Data Sciences, Patient Access, Privacy, Legal, Compliance, IS and external vendors.

Required profile

• Master's degree and 8 to 10 years of data management experience, or Bachelor's degree and 10 to 14 years.
• Proven experience building teams, managing and retaining talent in India, and managing complex transitions.
• Leadership, stakeholder management and communication skills, with excellent English oral and written communication.
• Comfortable working in global teams across time zones and cultures.

Required skills

• Data management, analytics, sales and/or marketing operations, value and access, or a related field.
• Life sciences data domain experience, ideally Data Platforms and Patient Data.
• Cloud platforms, SQL, Databricks, Tableau, SAS, Python, R.
• Project management in a matrixed environment and experience partnering with global stakeholders on multi-year programs.
• Good-to-have: patient-level datasets, SAFe, agile delivery, vendor management.