Associate Director – Enterprise Information Architecture
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Job Description
Associate Director enabling data-driven transformation in life sciences industry. Partnering to scale Enterprise Information Architecture capability and executing data architecture initiatives.
Responsibilities:
- Support Enterprise Information Architecture Capability
- Partner with the Senior Director to scale the Enterprise Information Architecture framework, standards, and best practices.
- Assist in defining and maintaining enterprise data domains, subdomains, and canonical data models.
- Ensure alignment of R&D data initiatives with enterprise architecture and governance standards.
- Drive Execution of Strategic Data Initiatives
- Provide architectural leadership and execution support for key programs.
- Translate business requirements into scalable and reusable data products.
- Collaborate with business and IT stakeholders to design end-to-end data solutions supporting analytics and operational use cases.
- Guide teams in adopting common data models, semantic layers, and architecture patterns.
- Ensure consistent implementation of Bronze, Silver, and Gold data layers within the enterprise data platform.
- Support the creation and certification of trusted data products for enterprise consumption.
- Create and review data models and enforce data modelling standards.
- Lead enterprise Semantic Modelling standard and develop a framework for context engineering.
- Stakeholder Engagement & Cross-Functional Collaboration
- Act as a bridge between strategic leadership and execution teams, ensuring alignment and effective delivery of initiatives.
- Engage with business leaders across Clinical Operations, Safety, Regulatory, and Biometrics to understand and address data needs.
- Collaborate with the Integration Center of Excellence (CoE) and enterprise architecture teams to promote standardized integration patterns.
- Innovation & Future-Ready Data Ecosystem
- Support the adoption of AI/ML and Generative AI by enabling high-quality, well-governed, and AI-ready data assets.
- Contribute to the evolution of the enterprise data ecosystem through knowledge graphs, semantic models, and advanced analytics.
- Identify opportunities to enhance data capabilities and drive continuous improvement.
Requirements:
- BA/BS Degree with 8+ years of experience in data architecture, data management, or analytics within the life sciences or pharmaceutical industry.
- Proven experience supporting enterprise-scale data and analytics initiatives.
- Experience with Clinical Development and R&D data domains.
- Strong understanding of modern data architectures, including data lakehouse, data mesh, and medallion patterns.
- Hands-on experience with Databricks and cloud platforms (Azure/AWS/GCP).
- Familiarity with MDM/RDM platforms (e.g., Reltio) and data governance/catalog tools (e.g., Informatica, Collibra).
- Knowledge of data quality frameworks, metadata management, and lineage.
- Proficiency in SQL and data modeling techniques.
- Understanding of GxP and regulatory requirements in the life sciences industry.
Benefits:
- Medical
- Dental
- Vision
- 401(k)
- FSA/HSA
- Life Insurance
- Paid Time Off
- Wellness
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