Lead and develop managers, technical leads and specialist teams; establish role clarity, succession plans, capability-building programs and a culture of quality, innovation, ownership and inclusion.
Set portfolio priorities and resource strategy across studies, programs and strategic investments; make transparent trade-offs that optimize patient impact, delivery risk, scalability and enterprise value.
Establish governance for intake, architecture, design standards, data definitions, validation, deployment, lifecycle support and retirement of analytical reporting solutions.
Enterprise clinical data-review capability
Sponsor integrated, reusable solutions for patient-, study-, program- and portfolio-level data review, including medical and safety dashboards, operational risk indicators, cross-study analytics and review-ready data products.
Provide strategic direction for clinical data curation, transformation, semantic models, lineage and accessibility so data can be responsibly reused across analytical solutions.
Shape future-state architecture in partnership with Digital Technology, Clinical Systems, Data Architecture, AI & Data, Standards and Statistical Programming teams.
Evaluate and sponsor responsible adoption of advanced analytics, anomaly detection, machine learning, generative AI and automation; ensure value hypotheses, validation, privacy, security, traceability and human oversight are built into scaled solutions.
Enterprise influence, transformation and external partnership
Represent Analytical Reporting on functional and cross-functional governance bodies and influence senior leaders on clinical data, technology, investment and operating-model decisions.
Lead cross-functional transformation programs that modernize clinical data flow, review practices and decision support; translate complex scientific, business and technical needs into executable roadmaps and investment cases.
Establish strategic partnerships with Therapeutic Areas, Data Management, Clinical Operations, Medical, Safety, Biostatistics, Quality and Digital Technology to align capability plans with development priorities.
Oversee external partner and vendor strategy for assigned scope, including capability assessment, performance governance, quality and appropriate knowledge retention.
Quality, compliance and performance
Accountable for a risk-based quality framework that ensures analytical solutions meet applicable ICH-GCP, regulatory, data-integrity, privacy, security, audit-trail and controlled-system expectations.
Ensure inspection readiness across the capability and lead responses to material audit, inspection and quality findings.
Define outcome, delivery, quality, adoption and maturity metrics; use them to drive enterprise-level continuous improvement and demonstrate value.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The collaborative, technically credible and patient-focused professional we seek has the following qualifications.
Basic qualifications
Doctorate degree and 10+ years of relevant experience; OR Master’s degree and 13+ years of relevant experience; OR Bachelor’s degree and 15+ years of relevant experience.
4+ years of managerial or leadership experience, including direct management of people and/or leadership of a substantial technical, functional or cross-functional organization.
Demonstrated experience leading clinical reporting, data visualization, clinical analytics, data management, programming, data science or digital-transformation capabilities in pharmaceutical, biotechnology, CRO or closely related regulated settings.
Preferred qualifications
Experience defining operating models, strategic roadmaps and governance for enterprise reporting, analytics, data products or clinical-development technology.
Deep knowledge of the clinical-development lifecycle, integrated data review, EDC and external data sources, CDISC standards, data architecture, semantic models and data governance.
Technical fluency with modern data, analytics and visualization ecosystems, including SQL, Python, R, SAS, cloud data platforms and business-intelligence tools.
Track record of leading global transformation, influencing senior executives, developing leaders and delivering measurable improvements at portfolio scale.
Experience governing AI-enabled solutions in a regulated environment, including human oversight, validation, explainability, privacy and security.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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