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Company Overview
A leading global pharmaceutical organization is transforming its data organization to a technical, engineering-led model that drives business value through hands-on architecture and software development. The company delivers innovative AI/ML and data solutions across R&D, Clinical Operations, Manufacturing, and Commercial functions, enabling operational excellence and faster innovation from drug discovery to commercial operations.
Overview
The Senior Director of AI Enterprise Architecture will lead enterprise architecture across the organization, guiding a team of elite architects while personally contributing to complex technical challenges. This role is responsible for designing and implementing data platforms, integration patterns, and software engineering standards that support AI/ML capabilities and business transformation.
Responsibilities
Define and execute enterprise architecture strategy across data platforms, integration architecture, cloud infrastructure, and software engineering standards.
Architect end-to-end data solutions from ingestion to analytics and AI/ML consumption, establishing design patterns, governance frameworks, and architecture standards for a regulated pharmaceutical environment.
Build and deliver production-quality data platforms using DataOps and DevOps practices, writing production code in Python, SQL, and Infrastructure as Code (Terraform/CloudFormation/CDK).
Design cloud infrastructure on AWS, build data pipelines with Airflow, dbt, Spark, Glue, and implement CI/CD pipelines with automated testing.
Lead, mentor, and scale a team of 3-5 enterprise architects and technical leads, balancing hands-on contribution (20-30%) with leadership responsibilities.
Collaborate with business and technology stakeholders across R&D, Clinical Operations, Manufacturing, Commercial, and IT to translate complex requirements into scalable architectures.
Lead adoption of modern data technologies (Snowflake, Databricks, AWS services) and design reference architectures for common patterns including APIs, integration, and event-driven systems.
Ensure operational excellence through architecture governance, observability, monitoring, and technical standards.
Manage technical debt while balancing innovation, operational stability, security, and regulatory compliance in a GxP-regulated environment.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or related technical field; Master’s preferred
10+ years of experience building enterprise data platforms and architectures, with 5+ years in leadership roles
Expert-level experience with Snowflake and strong experience with Databricks
Hands-on experience with AWS cloud services (S3, Glue, EMR, Redshift, Kinesis, Lake Formation)
Strong proficiency in Python and SQL; expertise in Infrastructure as Code (Terraform, CloudFormation, CDK)
Experience implementing CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes, ECS)
Hands-on experience with data pipeline tools (Airflow, Prefect, dbt), API design, microservices, and event-driven systems
Experience designing integration architectures for enterprise systems (SAP, Oracle, Workday, Salesforce, Veeva)
5+ years leading architecture and engineering teams, with hands-on mentorship
Experience in regulated environments (FDA, EMA, GxP)
Preferred: Biotech, pharmaceutical, or life sciences industry experience
Deep knowledge of architecture patterns in Clinical Development, Manufacturing, Research, or Commercial systems
Understanding of pharmaceutical data types and systems including clinical trials, genomics, manufacturing, quality, and supply chain
Expertise in modern data architecture concepts: data lakes, lakehouses, data mesh, streaming architectures, semantic layers, data virtualization
Knowledge of data modeling (dimensional modeling, Data Vault, normalized designs, graph databases)
Experience with monitoring and observability tools (CloudWatch, Datadog, New Relic)
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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