Job Function: Technology Enterprise Strategy & Security
Job Sub Function: Solution Architecture
Job Category:Scientific/Technology
All Job Posting Locations:Spring House, Pennsylvania, United States of America
Job Description:Director, Solution ArchitectureWe are searching for the best talent for a
Director, Solution Architecture to be located in
Spring House, PA.The Director-level Architect for Drug Discovery will strategize and define the end-to-end architecture for a next-generation, AI-powered Design-Make-Test-Learn (DMTL) engine.
This role sits at the intersection of
science, data, automation, and AI, translating discovery strategy into scalable, production-grade technology platforms that accelerate pipeline delivery and create durable competitive advantage through proprietary data.
The role combines
deep technical leadership,
hands-on architectural design (accelerated through the use of GenAI), and
people leadership, leading a team of solution architects while guiding delivery across Discovery, Data Science, and Engineering.
This role matters because you will be instrumental in industrializing drug discovery, ensuring J&J moves beyond experimentation to a fully scaled, learning-driven discovery engine that is data driven and under continuous improvement.
Key Responsibilities:- Architecture Strategy & Roadmap: Define and lead the architecture for this large initiative, encompassing DMTL workflows, data platforms, and automation ecosystems. Establish and drive a forward-looking roadmap aligned to Discovery strategy, ensuring scalability across biologics in the near term, followed by synthetic modalities.
- AI & Data Platform Design: Architect closed-loop data generation systems that integrate molecular design models with laboratory automation and robotics outputs. Ensure alignment with scientific data platforms, semantic layers, and agentic-AI capabilities to enable standardized, high-quality data and reproducible learning cycles.
- Integration & Scalability: Design solutions with a strong focus on computational scalability and data interoperability, ensuring seamless integration across lab systems, automation layers, and enterprise platforms.
- Execution & Delivery Leadership: Guide the translation of architectural designs into robust, production-grade solutions. Partner closely with product owners and engineering leaders to be responsible for delivery strategy, dependency management, and release execution, ensuring alignment to architectural principles.
- Team Leadership & Capability Building: Lead and coach a solution architects, driving consistency in architectural practices, strengthening domain expertise across AI, data, and lab automation, and ensuring high-quality design governance. Foster a culture of continuous learning, innovation, and technical excellence.
QualificationsEducation:- A background in Computer Science or equivalent, with 7+ years of experience leading a commercial or IT domain in digital solutions, systems integration, or architecture.
Experience and Skills:Required:- Proven experience in implementing automation architecture for large initiatives. (> USD 500Mio)
- Deep experience with integration patterns to connect multiple solution components and discovery systems.
- Ability to assess proposed solutions, articulate options, define architectural principles and recommend a path forward. Understanding how to translate business process needs into technology solutions; comfortable working at an abstract level and "shifting" to the highest-impact answer.
- Skilled at articulating trade-offs among business needs, technology requirements, timelines, costs, and risks, and be able to influence across multiple levels of a global organization.
Preferred:- Cloud-native and serverless architecture across major cloud providers, including containers and orchestration.
- Modern integration: API design, API management, event-driven patterns.
- Lab automation and orchestration.
- Data & analytics: data integration, MDM, data governance, lakehouse/warehouse patterns, and streaming analytics.
- AI/ML enablement: MLOps, DataOps, AgentOps foundations, responsible AI considerations, and implement GenAI and Agentic AI safely for productivity and customer experiences.
- DevSecOps and platform engineering: CI/CD, infrastructure as code, automated security scanning, and policy as code.
- Observability and reliability engineering: distributed tracing, logging/metrics, and tooling to meet SLO/SLAs.
- Confidence operating in complex, regulated global ecosystems.
What we offer:- The opportunity to lead high-impact initiatives in a world-class healthcare organization, improving experiences for patients, customers, and colleagues.
- A collaborative, supportive environment where your architecture leadership, coaching, and curiosity are valued.
- The ability to influence product direction and accelerate innovation on a global scale.
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Required Skills: Preferred Skills:Change Management, Consulting, Cross-Functional Collaboration, Design Mindset, Emerging Technologies, Enterprise IT Governance, Information Security Management System (ISMS), Information Technology Strategies, IT Architecture, Process Improvements, Product Configuration, Program Management, Requirements Analysis, Solution Architecture, Tactical Planning, Technical Credibility, Technical Writing
