Kenya Airways Hiring Data Governance Manager

Detailed Description

Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities aligned to best practice and international standards across all business domains e.g., DAMA, ARMA, DCAM
Responsible for defining and driving governance to ensure implementation and adherence to data governance policies defined including big data platforms and cloud implementations.
Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company’s principal information assets
Identity and drive business use of data assets to stimulate growth through insights and analytics
Proactively engage in new products design, system deployments, lines of business to ensure data governance is implemented at the core of all new initiatives
Input into Group to drive global best practices on Data Governance across all group opcos and partner markets
Ensure adherence to data privacy across all key data domains as defined by the company’s data privacy policy and in line with the regulation
Implement systems and process for Monitoring data quality process, identifying data quality issue patterns, applying remediation plans, implementation of data controls, and manage data quality remediation strategies.
Define indicators of performance and quality metrics (KQIs) and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements

A bachelor’s degree in management, organization governance, information management, or related management field.
A minimum of three (3) years of experience in an enterprise data governance business environment.
Any IT management certification, such as ITIL, will be an added advantage.
Experience with SQL is strongly preferred.
Experience in guiding enterprise data management initiatives in key business areas and in operationalizing data governance.
Expertise in creating and deploying best practices and methodologies and knowledge about managing and leading technical data analytics teams across multiple departments.