Description
Key Responsibilities:
- Personally develop, maintain, communicate and deliver enterprise data strategy, Enterprise Data Model, architecture and standards, working with senior colleagues to ensure fit with the business strategy.
- Building on the Data Strategy, to set strategic direction for the storage, management, governance and exploitation of Data.
- Take the lead in establishing and operating corporate data architecture and modelling governance to ensure IT and business change projects across the organisation are aligned with our data strategy and conform to our enterprise data architecture and standards.
- Contributing to Data Policy development
- Building and developing a team of supporting senior Data Architects.
- Communicating Data Architectural best practices and influencing senior colleagues across the organisation.
- Support the KAI Director in the ownership of Data Architecture at an Enterprise Level.
- Influencing and coordinating the adoption of the Architectural Principles and Data Standards across the Programmes and Platforms described in the background section above, ensuring alignment with the data strategy, architecture and standards.
- Contributing to the development of Data Governance
- Engaging confidently at all levels and able to influence senior stakeholders who are responsible for, and impacted by, the delivery of projects in-line with the data strategy, architecture and standards.
- Conducting horizon scanning and providing strategic vision in the development of policies, design patterns, standards and guidance, ensuring their consistency with the data architecture.
- Working with other public and private sector organisations to agree data standards.
- Representing the business Data Architecture collaborations across the Public Sector.
Essential Skills for the Assignment:
A recognised professional Data Architect with a proven track record of large scale database delivery in industry, including experience of developing Enterprise Data Models and managing the alignment of transaction systems, digital services and business processes with Enterprise Data Models and Standards.
Practical experience in data management process design and implementation, preferably in a digital environment.
An excellent communicator, with the ability to develop and manage relationships with a range of technical and business stakeholders from junior through to Director level.
A proven ability to help people see new possibilities offered by data, and to appreciate the business value of adherence to an enterprise data architecture.
A professional self-starter who wants to be right at the forefront of maintaining and improving capabilities essential to funding public service. Moreover it is an opportunity to be at the cutting edge of Government's Big Data Ambition.
Proven skills in corporate leadership, supporting colleagues, suppliers and stakeholders in understanding, and using, data architecture to achieve strategic goals and improve business operations
In-depth knowledge and practical competence in a number (but not necessarily all) of the following:
- Datamodelling at both application and enterprise level
- enterprise architecture principles, policies, standards and governance
- enterprise management of customer data
- business intelligence and/or data warehousing
- data standards definition or implementation - eg ISO20022, e-GIF
- metadata repository, Datamodelling or data dictionary tool implementation and administration
- data integration, transformation and standardisation
- Business data analysis for IT change
Desirable:
- Develop and maintain definitions of both as is and to be data architectures, and an implementation roadmap leading towards the to be state.
- Educated at Bachelor's or Master's degree level.in database design and/or information systems design
- Proven ability to support colleagues, suppliers and stakeholders in understanding, and using, data architecture to achieve strategic goals and improve business operations.
- Proven ability to help people see new possibilities offered by data, and to appreciate the business value of adherence to an enterprise data architecture