AstraZeneca
life sciences
SeniorDirector,SemanticPlatformEnablement
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“Senior Director, Semantic Platform Enablement at AstraZeneca. Skills: semantic platform enablement, enterprise data architecture, semantic technologies, knowledge-based platforms, semantic layer design, interoperability, platform delivery, scaling adoption, partner leadership, federated operating models. Lead the definition and execution of the semantic platform strategy, setting a clear direction that enables shared meaning, interoperability, and reuse across core data products, platforms, and ”
What You'll Achieve.
accelerate results across the whole value chain; scale impact; adoption and scale; accelerated AI and agentic innovation; greater consistency in how data is interpreted and used; ability for data products, projects, and programmes to connect through shared semantics and reusable standards; deliver measurable outcomes
Industry & Context.
turn sophisticated, cross-functional problems into reusable, enterprise-wide capabilities
What They're Looking For.
Must Have
Extensive experience in enterprise data architecture, semantic technologies, or knowledge-based platforms, with a track record of implementing scalable data capabilities in complex organisations., Deep understanding of semantic layer design, including ontologies, taxonomies, canonical modelling, reference data, and approaches to machine-readable representation of business meaning., Experience enabling interoperability across data products, platforms, and domains, including aligning architecture to cross-functional business and technology priorities., Demonstrated ability to lead platform delivery and scale adoption, from establishing core foundations through to enterprise rollout in federated or multi-domain environments., Partner leadership and influencing skills, with experience working across senior business, product, data, and technology communities to drive alignment and execution., Evidence of enabling and influencing a federated community of data and domain experts to contribute to a single, centrally governed capability., Experience managing strategic external partners and sophisticated delivery ecosystems, ensuring that internal and partner teams work effectively to deliver measurable outcomes.
Nice to Have
Experience in large-scale AI or agentic systems enablement, particularly where semantic layers underpin discovery, reasoning, background in life sciences or biopharma data, familiarity with modern data mesh, proven track record of evolving central platforms into federated operating models, experience with knowledge graphs or graph databases, exposure to regulatory or compliance considerations for enterprise data platforms.
What You'll Do.
Lead the definition and execution of the semantic platform strategy
setting a clear direction that enables shared meaning
and reuse across core data products
and enterprise initiatives.
Deliver the core semantic layer by establishing initial semantic models
reference data approaches
and implementation patterns that support priority business and technology use cases.
Build and scale an enterprise semantic mesh
defining the target operating approach and evolving toward a federated model that supports growth across domains over time.
Partner closely with product
and domain leaders to align semantic architecture and implementation with real-world use cases
ensuring adoption is driven by business value and practical integration needs.
Drive integration of structured and unstructured information into the semantic platform to unlock richer context
and usability of enterprise information assets.
Ensure interoperability across data products and platforms through shared semantics
and reusable reference data patterns.
Provide architectural leadership and governance for semantic enablement
maintaining consistency with enterprise data architecture
and evolving platform standards.
Manage external partner engagement and delivery in coordination with partnership teams to harness specialist capability
accelerate implementation
and secure high-quality outcomes.
How You'll Work.
Team & Collaboration
Partner closely with product, programme, project, and domain leaders to align semantic architecture and implementation with real-world use cases.; Manage external partner engagement and delivery in coordination with partnership teams.; Enabling and influencing a federated community of data and domain experts to contribute to a single, centrally governed capability.; Experience managing strategic external partners and sophisticated delivery ecosystems, ensuring that internal and partner teams work effectively to deliver measurable outcomes.; Connect across subject areas and geographies to share ideas, experiment, learn from setbacks and push boundaries.
Communication Scope
Partner leadership and influencing skills, with experience working across senior business, product, data, and technology communities to drive alignment and execution.
Process & Methodology
Lead platform delivery and scale adoption, from establishing core foundations through to enterprise rollout in federated or multi-domain environments.
Full Job Description
**Senior Director, Semantic Platform Enablement** We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being outstanding connectors: you'll actively harness existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn sophisticated, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real! **Introduction to role** This Senior Director role leads the design and enterprise enablement of AstraZeneca’s semantic platform so data is consistently understood, reliably connected, and reusable by both human and AI consumers. The position establishes the capabilities needed to translate core data products into context-rich, machine-readable meaning, enabling interoperability across platforms, domains, and critical initiatives. The remit is to deliver a scalable semantic foundation that starts with priority core data entities and expands into a federated enterprise semantic mesh across AstraZeneca. Outcomes will be seen in accelerated AI and agentic innovation, greater consistency in how data is interpreted and used, and the ability for data products, projects, and programmes to connect through shared semantics and reusable standards. **Accountabilities** Lead the definition and execution of the semantic platform strategy, setting a clear direction that enables shared meaning, interoperability, and reuse across core data products, platforms, and enterprise initiatives. Deliver the core semantic layer by establishing initial semantic models, canonical entities, reference data ap
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