Profession chief data officer

Chief data officers manage companies' enterprise-wide data administration and data mining functions. They ensure data are used as a strategic business asset at the executive level and implement and support a more collaborative and aligned information management infrastructure for the benefit of the organisation at large.

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Personality Type

  • Enterprising / Conventional

Knowledge

  • Business processes

    Processes which an organisation applies to improve efficiency, set new objectives and reach goals in a profitable and timely manner.

  • Visual presentation techniques

    The visual representation and interaction techniques, such as histograms, scatter plots, surface plots, tree maps and parallel coordinate plots, that can be used to present abstract numerical and non-numerical data, in order to reinforce the human understanding of this information.

  • Information structure

    The type of infrastructure which defines the format of data: semi-structured, unstructured and structured.

  • Data storage

    The physical and technical concepts of how digital data storage is organised in specific schemes both locally, such as hard-drives and random-access memories (RAM) and remotely, via network, internet or cloud.

  • Data mining

    The methods of artificial intelligence, machine learning, statistics and databases used to extract content from a dataset.

  • Decision support systems

    The ICT systems that can be used to support business or organisational decision making.

Skills

  • Apply information security policies

    Implement policies, methods and regulations for data and information security in order to respect confidentiality, integrity and availability principles.

  • Manage ICT data architecture

    Oversee regulations and use ICT techniques to define the information systems architecture and to control data gathering, storing, consolidation, arrangement and usage in an organisation.

  • Define data quality criteria

    Specify the criteria by which data quality is measured for business purposes, such as inconsistencies, incompleteness, usability for purpose and accuracy.

  • Utilise decision support system

    Use the available ICT systems that can be used to support business or organisational decision making.

  • Manage ICT data classification

    Oversee the classification system an organisation uses to organise its data. Assign an owner to each data concept or bulk of concepts and determine the value of each item of data.

  • Manage data

    Administer all types of data resources through their lifecycle by performing data profiling, parsing, standardisation, identity resolution, cleansing, enhancement and auditing. Ensure the data is fit for purpose, using specialised ICT tools to fulfil the data quality criteria.

Optional knowledge and skills

sql server filemaker manage business knowledge information security strategy ca datacom/db information categorisation unstructured data integrate ict data report analysis results database management systems deliver visual presentation of data openedge database develop information security strategy postgresql information architecture information extraction microsoft access db2 xquery n1ql data quality assessment coordinate technological activities database objectstore ldap business intelligence resource description framework query language online analytical processing query languages ibm informix linq information confidentiality apply change management cloud technologies implement ict risk management teradata database database development tools data models sparql oracle relational database mdx mysql

Common job titles

  • Vp and chief data officer
  • Chief data governance executive
  • Head of business intelligence & analytics
  • Head of information management
  • Chief financial data officer, multi asset solutions
  • Chief financial data and analytics officer
  • U.s. chief data officer
  • Director/vice president, enterprise data & analytics
  • Chief data officer
  • Data entry specialist