Global Medical Operations Senior Manager

Role Summary

Global Medical Operations Senior Manager

Responsibilities

• Supervise and lead operational activities to plan, build, implement, launch, and maintain the solutions in accordance with capability strategies, goals & roadmap
• Partner with capability leads to understand business context, strategy, systems and success metrics to lead cross-functional collaboration with data engineering, IT, regional study leads, and Medical Affairs stakeholders to ensure strategic alignment and data integrity.
• Serve as data steward and subject matter expert for the applicable frameworks, data assets and executive dashboards.
• Design, map, and maintain data flows and integrations across systems, ensuring data findability, accessibility, documentation towards integrity, quality, and compliance.
• Support the build/ assessment/ maintenance of the end-to-end capability (Process, System and Reports) lifecycle management, upgrade and enhancements in partnership with Information Systems
• Establish active communication lines with all applicable teams across functions and geographies and ensures global alignment with the implementation of innovations and improvements in analytics solutions
• Partner and collaborate with other Amgen Data Science and Analytic teams to innovate and scale advanced analytic solutions in the organization
• Develop and support Global Medical's vision of expanding its Advanced Analytics Platform with industry leading analytics tools and technologies to enable Amgen to continue to be the industry leader in this space
• Lead cross capability data discovery exercises and collaborate with vendors to complete proof of concepts and prototypes to identify the right technology solutions for Amgen
• Translate complex, technical insights into clear, data-driven narratives to inform and shape strategy in collaboration with capability leads
• Lead or champion delivery of key performance metrics and other analytics on an ongoing basis while continuously improving and innovating to enhance efficiency and throughput
• Drive innovation by continually assessing emerging technologies and their application in the Medical Affairs space, including but not limited to AI, Machine Learning and Natural Language Processing techniques to support critical business needs
• Lead the development and updates of controlled documents, propose, and implement processes and policies to improve the capability
• Drive development and implementation of training and support user adoption of analytics tools
• Support vendor management
• Be responsible for quality controls and assist in responding to audit findings

Qualifications

• Basic Qualifications: Doctorate degree in life science, computer science, business administration or related fields & 4 years of work experience
• Basic Qualifications: Master‚Äôs degree in life science, computer science, business administration or related fields & 6 years of work experience
• Basic Qualifications: Bachelor‚Äôs degree in life science, computer science, business administration or related fields & 8 years of work experience

Preferred Qualifications

• 5+ years of hands-on experience in data analytics, data science, or business intelligence in the biopharma, healthcare, or medical affairs domains
• 3+ years of experience in leading and running systems or analytics projects and programs
• Strong analytical and storytelling skills, with the ability to translate business needs into actionable insights, dashboards and KPIs
• Proficiency in SQL, Python/R, and/or data visualization tools (Power BI, Tableau, Spotfire, etc.)
• Experience integrating complex datasets and ensuring data quality and governance
• Demonstrated discernment and experience translating data insights to evidence-based, strategic decisions
• Exceptional communication and stakeholder management skills, with the ability to align technical and business teams around shared goals
• Demonstrated ownership, precision, and accountability in getting results within a fast-paced, matrixed global organization
• Demonstrated ability to apply AI/ML methods (e.g., predictive analytics, NLP, automation, or generative AI tools)
• Strong sense of ownership, precision, and accountability ‚Äî thrives as a hands-on delivery authority in a matrixed, global environment