Senior Data Officer (contract)
| Location | Johannesburg, South Africa |
| Date Posted | October 6, 2020 |
| Category |
IT / Information Technology
|
| Job Type |
Contract
|
| Currency | ZAR |
Description
Duties & Responsibilities
The Data Officer is responsible for providing leadership for the value creation from the use of the organisation’s data assets though data exploitation, envisioning data-enabled strategies and the enablement of business outcomes through analytics, data and analytics governance and organisational information policy. The role is responsible for the oversight and management of the:
· Data warehousing;
· Data analytics;
· Data science;
· Big data initiatives;
· Information lifecycle management and governance;
· Alignment of data policy and administration with relevant regulatory and legal mandates.
Desired Experience & Qualification
Essential:
· Bachelor’s degree in IT
· Master’s degree in an data/information science-related field or business administration
· 12 - 15 years of practical experience in the field of IT with at least 5 – 7 years in an data/information science-related position
· 5+ years progressive leadership experience in leading cross-functional teams or organisational programmes, operating and influencing effectively across the organisation
· Experience in integrating complex, cross-corporate process and information strategies
· Practical and demonstrated experience in multiple data and information science domains
Advantageous:
Strategy and management consulting experience
Knowledge
Essential:
Expert knowledge of information strategies, including planning and execution, policy development and maintenance
· Familiarity with business information generation and analysis methods
· Solid knowledge of developing a framework for information and analytics governance
· Demonstrated knowledge of information systems/tools and related software for data management
· Broad knowledge of the complete spectrum of all data and information science domains,
e.g. data warehousing, business intelligence, data governance, data architecture, data integration, data classification, data quality management, master data management