Role responsibilities
- Define and implement an enterprise data model covering services, systems, platforms and their relationships.
- Establish data ownership, stewardship, governance and life cycle principles.
- Design approaches for collecting, validating and maintaining architecture data.
- Evaluate enterprise architecture tools and support implementation of the chosen solution.
- Gather stakeholder requirements and define priority data domains.
- Develop sustainable processes and responsibilities for maintaining trusted information.
- Establish data-quality controls covering completeness, ownership and accuracy.
- Enable reporting, analysis, strategic planning and investment decisions.
Key experience and requirements
- Experience designing enterprise data models across large, complex technology estates.
- Strong knowledge of metadata management, information architecture, data ownership and governance.
- Experience taking data models from concept through to implementation and operation within Agile working environments.
- Experience with enterprise architecture or configuration-management tools; LeanIX, Ardoq, Alfabet or ServiceNow CMDB would be beneficial.
- Knowledge of data quality, lineage and life cycle management.
- AWS knowledge strongly preferred
- Strong stakeholder-management skills; central-government or wider public-sector experience is desirable.
- Active SC clearance mandatory
Industry:
Data & Analytics
Seniority Level:
Not Specified