Manager Data Science at Kenya Airways

Brief Description 

• The candidate will be tasked with supporting the different business and IT departments to drive connect opportunities and value generation through Data and Analytics across KQ business.

Detailed Description        
Principal Accountabilities (Key Performance Area)

• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
• Recruit, train, develop and supervise analyst-level employees.
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
• Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
• Examine, interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
• Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
• Testing performance of data-driven products.

Job Requirements        

• Bachelor’s degree in computer science, Information Technology, Computer Engineering, or
• Bachelor’s degree in computer science, Data Science or related degree.
• Over 3 years’ experience in leading high performing teams
• Proven experience in agile scrum methodology in project and team management
• Strong skills in implementing both Kappa and Lambda Big Data processing architectures.
• Strong ability to plan and manage numerous processes, people, and projects simultaneously.
• A Data Analytics certification by a recognized body/institution
• Strong programming skills in languages such as Python, PERL, R, Java and SQL are essential for managing data analytics teams.
• Statistical analysis: Data analytics managers should have advanced knowledge of statistical methods and be able to perform complex statistical analysis on large data sets.
• Data governance: They should be able to develop and implement data governance policies to ensure that data is managed securely and ethically.
• Strong skills in implementing Master Data Management solutions, Data Lakes and Data Warehouses.

Additional Details        

• Excellent communication, collaboration, and delegation skills.
• Good understanding of Software Development Life Cycle process.
• Good understanding of the Data Management Life Cycle.
• Good understanding of Data Science methodologies.
• Strong analytical skills to identify patterns and insights from large and complex data sets.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Ability to excel in a fast paced, team-oriented environment.
• Good trouble shooting skills and ability to work independently/ proactively are a must.