Job Ref. No. JLIL383

ole Purpose

• The role holder will be responsible for assessing, monitoring, and improving data quality standards and processes to support informed decision-making, regulatory compliance, and operational efficiency. He/ She will ensure the accuracy, completeness, and integrity of data assets.

Main Responsibilities

• Operational
• Data Cataloguing: Support the registration and maintenance of datasets, reports and metadata in the enterprise data catalogue, including business definitions, data owners and high-level data lineage
• Data Quality Assessment: Support audits and assessments of data quality across various systems and sources, identifying inconsistencies, errors, and gaps in data integrity.
• Root Cause Analysis: Investigate data quality issues to determine underlying causes, collaborating with relevant stakeholders to implement corrective actions and preventive measures.
• Data Cleansing: Engage stakeholders in addressing data quality issues, ensuring the accuracy and completeness of data records.
• Documentation and Reporting: Maintain documentation of data quality rules, processes, and remediation efforts, preparing regular reports and presentations to communicate findings and recommendations to stakeholders.
• AI Risk/Compliance: Maintain records of key AI risks (such as fairness, privacy, bias and misuse), the mitigating controls in place, and evidence of compliance with the organization’s AI governance requirements.
• AI and Data Governance Policy: Support the review, updating and version control of AI and data governance policies, standards and procedures, ensuring alignment with regulatory requirements, business practices and approved governance controls

Corporate Governance

• Ensure adherence to the laws and regulations of Kenya and all internal company policies and procedures.
• Ensuring compliance with applicable statutory and regulatory requirements and establishing mitigation measures against emerging business risks.

Culture

• Fostering a corporate culture that promotes ethical practices and good corporate citizenship while maintaining a conducive work environment.
• Collaborate with cross-functional teams to develop initiatives that promote a positive and inclusive company culture.
• Individualized Development Planning: Create personalized development plans that align with your career aspirations and the organization’s objectives.

Key Competencies

• Analytical Thinking: Ability to analyze complex data sets and identify patterns, trends, and anomalies.
• Problem-Solving: Proficiency in identifying root causes of data quality issues and developing effective solutions.
• Attention to Detail: Thoroughness in ensuring data accuracy, completeness, and consistency.
• Communication Skills: Clear and effective communication of findings, recommendations, and status updates to stakeholders.
• Collaboration: Ability to work collaboratively with cross-functional teams to address data quality challenges and implement improvements.
• Adaptability: Flexibility to adapt to changing data quality requirements, priorities, and business needs.
• Time Management: Prioritization and organization of tasks to meet deadlines and deliverables.

Academic Qualifications and Relevant Experience

• Bachelor’s degree in computer science, Information Systems, Statistics, or a related field.