Senior Data Architect

We are seeking a Senior Information Architect to Support SDG Client’s AI‑ready Data initiative, establishing shared, business‑aligned information models that enable reuse, scale, and AI adoption across the organization.

This senior role focuses on enterprise‑level conceptual and logical data modelling, shared semantics, and governance alignment. You will work closely with senior business stakeholders, enterprise and solution architects, and data governance leaders.

Key Responsibilities

Lead the design, maintenance, and evolution of conceptual and logical information models that enable shared understanding of core business concepts across the organisation.
Own and contribute to central information architecture artefacts such as the Enterprise Data Model and Data Domain Map, ensuring alignment across domains and initiatives.
Lead definition and adoption of business concepts, taxonomies, and semantic standards.
Collaborate closely with business stakeholders, data product teams, solution architects, and engineers to translate business needs into clear information models that guide downstream implementations.
Ensure alignment between information architecture, data governance policies, and quality expectations.
Assess as‑is and define target‑state information flows supporting interoperability and lineage.
Set guardrails and best practices for information modelling across initiatives.
Guide teams in applying enterprise information models in local delivery contexts.
Promote reuse‑first and business‑aligned modelling principles.
Educate, guide, and coach stakeholders and architects, helping to embed information architecture thinking across teams.
Mentor architects and contribute to capability building across the architecture community.
Contribute to continuous improvement of architecture tooling and ways of working, including integration with data catalogues and metadata management tools.

Requirement

Extensive experience as an Information Architect, Data Architect, or similar senior role.
Proven ability to translate complex business concepts into clear information models, taxonomies, and definitions.
Strong track record of enterprise‑level conceptual and logical data modelling.
Deep understanding of semantic modelling, taxonomies, ontologies, and business glossaries.
Strong understanding of how information architecture, data management, and data governance work together.
Experience working closely with data governance and architecture communities.
Hands‑on experience with ontology or semantic standards (e.g. RDF, OWL, SKOS, SPARQL) or equivalent conceptual modelling approaches.
Ability to influence senior stakeholders and drive alignment across domains.
Strong communication, facilitation, and coaching skills.
Experience in large‑scale, transformation‑driven organizations.