Director, Enterprise Data Architecture
- Hyderabad, Telangana
- Permanent
- Full-time
- Develop and own the enterprise data architecture and solutions roadmap, aligned with Amgen’s business strategy and digital transformation goals.
- Provide executive leadership and oversight of data architecture initiatives across business domains (R&D, Commercial, Manufacturing, etc.).
- Lead and grow a high-impact team of data and solution architects. Coach, mentor, and foster innovation and continuous improvement in the team.
- Design and promote modern data architectures (data mesh, data fabric, lakehouse etc.) across hybrid cloud environments and enable for AI readiness.
- Collaborate with stakeholders to define solution blueprints, integrating business requirements with technical strategy to drive value.
- 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 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.
- 10+ 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.
- Master’s or doctorate in Computer Science, Engineering, or related field.
- Certifications in cloud architecture (AWS, GCP, Azure).
- Experience integrating AI/ML solutions into enterprise Data Achitecture.
- Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).
- Scaled Agile or similar methodology experience.
- 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.
- Doctorate degree and 2 years of Information Systems experience, or
- Master’s degree and 6 years of Information Systems experience, or
- Bachelor’s degree and 8 years of Information Systems experience, or
- Associates degree and 10 years of Information Systems experience, or
- 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs.