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We're hiring on behalf of a Haystack partner!
The Role
- Design and manage the data architecture connecting scientific discovery, clinical development, regulatory compliance, and operational efficiency.
- Define and promote the future-state vision for R&D data architecture.
- Own the enterprise data model, defining master data sources, and ensuring integration across platforms.
- Serve as the interface between R&D and enterprise I&T, covering data, integration, automation, and AI.
- Lead the design, development, and evolution of R&D data architecture.
- Collaborate with various teams to align data architecture with R&D goals and overall business strategy.
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What You'll Need
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- 8+ years of experience in data architecture, with at least 3 years in an R&D biotech or pharma environment.
- Proven track record in integration patterns, data flow models, enterprise data models, and cloud-native data architectures.
- Experience with R&D platforms in biotech or pharma, including clinical system data flow and data product consumption models.
- Strong knowledge of data modelling best practices.
- Ability to operate at strategic and technical levels, communicating complex architectural concepts clearly to cross-functional audiences.
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What's On Offer
- Opportunity to drive significant transformation in R&D data and AI ambitions.
- Be part of a brand new role with critical impact on digital initiatives.
- Contribute to an organization focused on accelerating data and AI capabilities.
Apply via Haystack today!
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Skills
Data Architecture
Enterprise Data Modeling
Integration Patterns
Cloud-Native Architecture
Data Flow Modeling
R&D Data Management
AI Integration
Strategic Planning
Cross-functional Communication
Data Product Consumption Models
Location