Drive enterprise-wide adoption of data modeling, metadata management, and data lineage standards.
Ensure solutions meet enterprise-grade requirements for security, performance, scalability, compliance, and data governance.
Partner closely with Enterprise Architecture, Data Governance, Data Engineering, Analytics, AI/ML, and IT Security teams to operationalize data solutions that enable advanced analytics and decision-making.
Champion innovation and continuous evolution of Amgen’s data and analytics landscape through new technologies and industry best practices.
Communicate architectural strategy and project outcomes to executive leadership and other non-technical stakeholders.
Functional Skills
Must-Have Skills
15+ years of experience in data architecture or solution architecture leadership roles, including experience at the enterprise level.
Proven experience leading architecture strategy and delivery in the life sciences or pharmaceutical industry.
Expertise in cloud platforms (AWS, Azure, or GCP) and modern data technologies (data lakes, APIs, ETL/ELT frameworks).
Strong understanding of data governance, compliance (e.g., HIPAA, GxP), and data privacy best practices.
Demonstrated success managing cross-functional, global teams and large-scale data programs.
Experience with enterprise architecture frameworks (TOGAF, Zachman, etc.).
Proven leadership skills with a track record of managing and mentoring high-performing data architecture teams.
Good-to-Have Skills
Master’s or doctorate in Computer Science, Engineering, or related field with 18 to 23 years of experience.
Certifications in cloud architecture (AWS, GCP, Azure).
Experience integrating AI/ML solutions into enterprise Data Architecture.
Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).
Scaled Agile or similar methodology experience.
Leadership and Communication Skills
Strategic thinker with the ability to influence at the executive level.
Strong executive presence with excellent communication and storytelling skills.
Ability to lead in a matrixed, global environment with multiple stakeholders.
Highly collaborative, proactive, and business-oriented mindset.
Strong organizational and prioritization skills to manage complex initiatives.
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.
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