Job Purpose Statement:

• Developing and implementing data strategies and policies.
• The job holder is responsible for managing the groups data providing data-driven insights to enhance decision-making across all Optiven departments.
• Ensuring data protection compliance and security.
• Overseeing end to end data management including design, capture, analysis, storage and retrial
• Data visualization and interpretation to support business growth.

Duties and Responsibilities:

• Develop and implement data policies in line with organizational objectives and Legal and regulatory requirements.
• Design organization data frameworks in line with Business Requirements.
• Oversee data governance processes to maintain data integrity, security, and accessibility.
• Manage data infrastructure to ensure efficient storage, organization, and retrieval of information.
• Regularly review processes to identify inefficiencies and recommend improvements.
• Initiate and oversee regular data analysis to identify trends and patterns to generate actionable insights for stakeholders
• Initiate and oversee actionable insights to support data-driven decision-making.
• Drive compliance with data protection regulations such as GDPR, DPA, ISO 27001 and other relevant laws and standards.
• Implement data governance frameworks aligned with Kenya’s Data Protection Act (2019).
• Initiate and oversee regular data audits and enforce role-based access controls.
• Monitor data security risks and propose mitigation strategies.
• Implement robust data security measures
• Develop and track key performance indicators (KPIs) to measure the effectiveness of data initiatives.
• Deploy AI-powered forecasting tools to support data management.
• Provide quarterly business intelligence reviews to management.
• Identify and implement innovative techniques to improve data analysis, reporting, and operational efficiency.
• Initiate and oversee data automation processes
• Evaluate and recommend data management systems that enhance the organization’s data capabilities.
• Manage train and mentor data science team to promote data protection awareness; accuracy, integrity and security.
• Assign tasks, monitor progress, and provide guidance to data team and stakeholder ensure successful project delivery.
• Perform other duties as maybe assigned from time-to-time.

Qualification and Experience Requirements:

• A Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is an added advantage.
• A minimum of five (5) years of experience in data science or analytics roles, with at least 2–3 years in a supervisory capacity.
• Certifications in data science, data analysis, and/or data protection (e.g., Certified Data Management Professional, Certified Information Privacy Professional) are preferred.
• Strong knowledge of machine learning, statistical analysis, and big data technologies.
• Proficiency in data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R).
• Proficiency in data management tools (e.g., SQL, Python, ETL tools).
• Experience with database management systems (DBMS) such as MySQL, Oracle, or SQL Server.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Hands-on experience with AI, data mining, and predictive modeling.

Competency Requirements:

• Leadership skills
• Business acumen
• Strong analytical & problem-solving skills.
• Ability to translate business problems into data-driven solutions.
• Excellent communication & reporting skills for non-technical stakeholders.
• Ability to work in a fast-paced, results-driven environment.
• Critical and analytical thinking
• Adaptability and agility
• Creativity and Innovation
• Collaboration and Team work
• Problem solving and Decision-Making