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
