This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Associate Director, Enterprise Information Architecture in the United States.
This role sits at the intersection of data strategy, enterprise architecture, and life sciences innovation, focusing on enabling trusted, scalable, and governed data ecosystems across R&D and enterprise functions. The Associate Director will help translate high-level architectural vision into practical execution, ensuring that data products are consistent, reusable, and aligned with enterprise standards. Working closely with senior leadership, this position plays a key role in shaping modern data architecture practices across Clinical Operations, Safety, Regulatory, and related domains. The environment is highly collaborative, global, and fast-paced, with a strong emphasis on data quality, governance, and regulatory compliance. The role also contributes to advancing Master Data Management, Reference Data Management, and semantic modeling capabilities. In addition, it supports the evolution of AI-ready data foundations that enable advanced analytics and generative AI use cases. This is a high-impact opportunity for a professional who enjoys combining strategic thinking with hands-on architectural leadership.
Accountabilities- Support the scaling of the Enterprise Information Architecture capability by partnering with senior leadership to define, refine, and operationalize architecture standards, frameworks, and best practices.
- Contribute to the definition and maintenance of enterprise data domains, subdomains, and canonical data models aligned with business and R&D needs.
- Provide architectural guidance for key enterprise data programs, ensuring delivery of scalable, reusable, and governed data products.
- Translate business requirements into robust data solutions, supporting analytics, operational reporting, and advanced use cases.
- Promote consistent use of modern architecture patterns, including medallion data layers (Bronze, Silver, Gold), semantic layers, and standardized integration approaches.
- Support data modeling activities and enforce enterprise data modeling standards across teams and domains.
- Collaborate with cross-functional stakeholders to ensure alignment between architecture principles, governance requirements, and execution delivery.
Requirements
- Bachelor’s or Master’s degree in Information Science, Computer Science, Data Management, or a related field.
- 8+ years of experience in data architecture, data management, or analytics, ideally within the life sciences or pharmaceutical industry.
- Strong experience with enterprise-scale data initiatives, particularly in Clinical Development, R&D, or related domains.
- Solid understanding of modern data architectures, including data lakehouse, data mesh, and medallion frameworks.
- Hands-on experience with cloud data platforms (Azure, AWS, or GCP) and tools such as Databricks.
- Familiarity with Master Data Management (e.g., Reltio), data governance/catalog tools (e.g., Informatica, Collibra), and data quality frameworks.
- Strong proficiency in SQL and data modeling techniques, including metadata, lineage, and reference data concepts.
- Understanding of GxP and regulatory requirements in a life sciences context.
- Strong stakeholder management, communication, and cross-functional collaboration skills.
- Ability to balance strategic thinking with hands-on execution and problem-solving.
- Demonstrated ability to influence adoption of enterprise standards in global, matrixed environments.
Benefits
- Annual base salary range: $143,700 – $193,700 USD (depending on experience and location).
- Eligibility for annual bonus plans and/or incentive compensation, depending on role type.
- Discretionary equity awards and eligibility to participate in an Employee Stock Purchase Plan.
- Comprehensive healthcare coverage, including medical, dental, and vision insurance.
- Retirement benefits including 401(k) plan options.
- Flexible savings accounts (FSA/HSA) for eligible expenses.
- Life insurance coverage and additional wellness-related benefits.
- Paid time off and company holidays supporting work-life balance.
- Inclusive and equitable workplace culture focused on continuous learning and professional growth.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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