Data architect

You can:

• communicate effectively with technical and non-technical stakeholders
• support and host discussions within a multidisciplinary team, with potentially difficult dynamics
• be an advocate for the team externally, and can manage differing perspectives

You can:

• show an awareness that data needs to be aligned to the needs of the end user
• create basic visuals and presentations

You can:

• undertake data profiling and source system analysis
• present clear insights to colleagues to support the end use of the data

You can:

• understand what data governance is required
• take responsibility for the assurance of data solutions and make recommendations to ensure compliance

You can:

• show an awareness of opportunities for innovation with new tools and uses of data

You can:

• explain the concepts and principles of data modelling
• produce, maintain and update relevant data models for an organisation’s specific needs
• reverse-engineer data models from a live system

You can:

• develop data standards for a specific component
• analyse where data standards have been applied or breached, and undertake an impact analysis of that breach

You can:

• use metadata repositories to complete complex tasks such as data and systems integration impact analysis
• maintain a metadata repository to ensure information remains accurate and up to date

You can:

• initiate and monitor actions to investigate patterns and trends to resolve problems
• effectively consult specialists where required
• determine the appropriate remedy and assist with its implementation
• determine preventative measures

You can:

• explain the strategic context of your work and why it is important
• support strategic planning in an administrative capacity

You can:

• design data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles
• work within the context of well understood architecture, and identify appropriate patterns

You can:

• listen to the needs of technical and business stakeholders, and interpret them
• effectively manage stakeholder expectations
• manage active and reactive communication
• support or host difficult discussions within the team or with diverse senior stakeholders

You can:

• understand the appropriate media to communicate findings
• shape communications for the audience

You can:

• undertake data profiling and source system analysis
• present clear insights to colleagues to support the end use of the data

You can:

• evolve and define data governance
• take responsibility for supporting and collaborating around wider governance
• assure and integrate data services to meet the needs of multiple business services
• work proactively to ensure the organisation designs architecture that considers data

You can:

• understand the impact on the organisation of emerging trends in data tools, analysis techniques and data usage

You can:

• produce relevant data models across multiple subject areas
• explain which models to use for which purpose
• understand industry-recognised data modelling patterns and standards, and when to apply them
• compare and align different data models

You can:

• develop and set data standards across multiple subject areas
• act as the escalation point for breaches of data standards and make recommendations about how the organisation should resolve them

You can:

• design an appropriate metadata repository
• suggest changes to improve current metadata repositories
• understand a range of tools for storing and working with metadata
• advise less experienced members of the team about metadata management

You can:

• ensure that the right actions are taken to investigate, resolve and anticipate problems
• co-ordinate the team to investigate problems, implement solutions and take preventive measures

You can:

• work within a strategic context and communicate how activities meet strategic goals
• contribute to the development of strategy and policies

You can:

• design data architecture that deals with problems spanning different business areas
• identify links between problems to devise common solutions
• work across multiple subject areas, or a single large or complicated subject area
• produce appropriate patterns

You can:

• listen to the needs of technical and business stakeholders, and interpret them
• effectively manage stakeholder expectations
• manage active and reactive communication
• support or host difficult discussions within the team or with diverse senior stakeholders

You can:

• turn complex data into clear and well understood solutions, which can be acted upon
• share data communication skills with the team and organisation
• understand and communicate different options, taking into account risks and uncertainties

You can:

• undertake data profiling and source system analysis
• present clear insights to colleagues to support the end use of the data

You can:

• ensure data governance supports changes to the organisational strategy
• align data governance with wider governance (for example, budget)
• assure corporate services by understanding important risks and providing mitigation through assurance mechanisms

You can:

• identify areas of innovation in data tools and techniques, and recognise appropriate timing for adoption

You can:

• understand the concepts and principles of data modelling and can produce relevant data models
• work across government and industry, recognising opportunities for the reuse and alignment of data models in different organisations
• design the method to categorise data models within an organisation

You can:

• develop and set data standards for an organisation
• communicate the business benefit of data standards, championing and governing them across the organisation
• understand where standards need to be set across an organisation, and how to set the standards within an organisation in the wider context of government

You can:

• identify how metadata repositories can support different areas of the organisation
• communicate the value of metadata repositories
• set up robust governance processes to keep repositories up to date

You can:

• anticipate problems and defend against them at the right time
• understand how the problem fits into the larger picture
• articulate the problem and help others to do so
• build problem-solving capabilities in others

You can:

• define strategies and policies, providing guidance to others on working in the strategic context
• evaluate current strategies to ensure business requirements are being met and exceeded where possible

You can:

• design data architecture that deals with problems across the enterprise
• work across all organisational subject areas and internal and external programmes

Communicating between the technical and non-technical

Data analysis and synthesis

Data innovation

Metadata management

Turning business problems into data design

Communicating between the technical and non-technical

Data analysis and synthesis

Data innovation

Data modelling

Metadata management

Communicating between the technical and non-technical

Data innovation

Strategic thinking

Communicating between the technical and non-technical

Problem management

Communicating between the technical and non-technical

Strategic thinking