Associate Director – Enterprise Information Architecture

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with the Senior Director to expand the Enterprise Information Architecture framework, standards, and best practices.

• Establish and oversee enterprise data domains, subdomains, and canonical data models.

• Ensure that R&D data initiatives are in alignment with enterprise architecture and governance standards.

• Provide architectural leadership and execution support for critical programs.

• Convert business requirements into scalable and reusable data products.

• Work alongside business and IT stakeholders to design comprehensive end-to-end data solutions.

• Lead the adoption of common data models, semantic layers, and architectural patterns.

• Ensure the consistent application of Bronze, Silver, and Gold data layers.

• Assist in the creation and certification of reliable data products.

• Develop and review data models while enforcing data modeling standards.

• Spearhead the enterprise Semantic Modelling standard and create a framework for context engineering.

• Engage leaders across Clinical Operations, Safety, Regulatory, and Biometrics to meet data requirements.

• Partner with the Integration Center of Excellence and enterprise architecture teams to implement standardized integration patterns.

• Facilitate the adoption of AI/ML and Generative AI through high-quality, governed, AI-ready data assets.

• Contribute to the data ecosystem by developing knowledge graphs, semantic models, and advanced analytics.

• Identify opportunities to enhance data capabilities and promote continuous improvement.

⛳️ Requirements

• Bachelor’s or Master’s degree in Information Science, Computer Science, Data Management, Life Sciences, or a related field.

• Over 8 years of experience in data architecture, data management, or analytics within the life sciences or pharmaceutical sector.

• Demonstrated experience in supporting enterprise-scale data and analytics initiatives.

• Familiarity with Clinical Development and R&D data domains.

• Solid understanding of modern data architectures, including data lakehouse, data mesh, and medallion patterns.

• Practical experience with Databricks and cloud platforms (Azure/AWS/GCP).

• Knowledge of MDM/RDM platforms such as Reltio and data governance/catalog tools like Informatica and Collibra.

• Understanding of data quality frameworks, metadata management, and data lineage.

• Proficient in SQL and data modeling techniques.

• Knowledge of GxP and regulatory requirements within the life sciences industry.

• Excellent stakeholder management and communication skills.

• Capability to translate strategic vision into practical execution.

• Experience collaborating in cross-functional and global teams.

• Strategic mindset combined with hands-on problem-solving abilities.

• Ability to influence and promote the adoption of enterprise standards.

🏝️ Benefits

• Eligibility for an annual bonus plan for Non-Commercial roles.

• Eligibility for an incentive compensation plan for Commercial roles.

• Discretionary equity awards.

• Participation in the Voluntary Employee Stock Purchase Plan.

• Medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• 401(k) retirement plan.

• Flexible Spending Account (FSA)/Health Savings Account (HSA).

• Life insurance benefits.

• Paid Time Off.

• Wellness benefits.