Lead Specialist, Data Architect at Pearson shaping data architecture for enterprise transformation. Responsible for defining data models and standards ensuring scalable systems.
Responsibilities
Define, own, and evolve the enterprise data architecture vision, principles, and standards for new transformation platforms.
Act as design authority for enterprise data models, data flows, and integration patterns across net-new systems.
Ensure alignment between business strategy, target operating model, and data architecture.
Lead the design and governance of conceptual, logical, and physical data models and enterprise vocabulary for new domains and services.
Establish and enforce modelling standards, reviewing and approving domain and solution data models for transformation initiatives.
Provide architectural assurance for new systems, vendors, and delivery partners, identifying risks and defining mitigation strategies.
Define target-state data structures and integration patterns that enable scalable, interoperable platforms.
Partner with business and technology stakeholders to translate complex requirements into clear, reusable data models and standards.
Guide platform and tooling decisions to ensure interoperability and consistency across new services.
Monitor emerging technologies and architectural patterns to inform future-ready data design.
Ensure data architecture supports data sovereignty, residency, and regulatory requirements across jurisdictions.
Requirements
Proven ability to define and govern data architecture across complex, multi-system environments.
Able to work effectively with senior stakeholders and delivery teams to align on architecture and standards.
Excellent communication and collaboration skills, translating complex data structures into clear, actionable designs.
Expertise in conceptual, logical, and physical data modelling for large-scale, integrated systems built from first principles.
Strong ability to define, implement, and enforce data standards, semantics, and governance controls.
Experience designing data models and integration patterns for new platforms, products, or digital services.
Comfortable navigating ambiguity and shaping data structures in evolving transformation programmes.
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