Manager – Data Governance Job at Safaricom Kenya

• 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
• Define tools and methods to implement and drive adherence to data governance policies
• 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 the regulation
• Implement systems and process for Monitoring data quality process, identifying data quality issue patterns, applying remediation plans, implementing 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

Qualifications:

• Bachelors or Masters in Statistics, Econometrics, Engineering, Maths, Science, etc.
• 5 – 8 years of experience in generating business insights, delivering data governance frameworks & policies and have good understanding of the telecommunications business
• Technical Expertise in analytics and data governance platforms such as Oracle BI, Collibra, Ab Initio, Hadoop etc
• Analytics experience in one or more of these areas: campaign management, sales, product design, pricing, supply chain, network, customer care, etc.
• Good communication and presentation (oral and written) skills
• Experience in telecom, financial services or similar industries
• Hands-on experience in statistical modeling would be a plus. Statistical experience can include developing regression models, factor analysis, clustering, decision trees would be an added advantage