Executive Head, Enterprise Data Management at KCB Bank Kenya

KEY RESPONSIBILITIES:


Define and execute the Group Enterprise Data Strategy and Roadmap, aligned to the Group Strategy and priorities.
Establish and enforce Group-wide Data Governance, including data ownership, stewardship, policies, and decision rights across subsidiaries.
Build the Enterprise Data Operating Model, including federated governance structures and subsidiary-level data leads with dotted-line accountability.
Own the Enterprise Data Architecture, including master data, metadata management, lineage, and reference data standards.
Drive Data Quality and Data Integrity Programs, including enterprise data quality SLAs, remediation, and continuous monitoring.
Lead Data Platform and Analytics Enablement, shaping the target data stack and working with Technology to implement scalable data infrastructure.
Enable AI and Advanced Analytics Adoption, ensuring data readiness, ethical AI governance, model risk controls, and business use-case prioritization.
Drive Business Value Realization and Data Monetization, ensuring measurable revenue uplift, cost savings, productivity gains, and new product opportunities.
Ensure Regulatory Compliance and Data Risk Management, including privacy, cybersecurity controls, retention policies, audit readiness, and BC/DR requirements.
Build Group-wide Data Culture and Capability, including analytics literacy, talent development, and enterprise-wide change management.
Collaborate with the Technology Management team to shape the information technology strategy, in particular pertaining to the data and analytics technology stack, critical workflows and channel infrastructure.


The Person

For the above position, the successful applicant should have the following:


Bachelor's degree in data science or related fields (Required).
Master's degree in strategic management / business administration or Related (Added advantage).
Certification in data governance frameworks like DAMA DMBOK, COBIT, or ISO/IEC 38500.SQL, R, Python, Supervised and unsupervised machine learning techniques (added advantage).
8 years' work experience with the below;-
8 years' progressive experience in data management or analytics(essential).
8 years' experience in Data Quality Management(essential).
4 years' experience in Data Remediation program(essential).
4 years' experience in Data governance frameworks(essential).
4 years' experience in SQL, Python/R, and cloud computing(essential).
6 years' experience in People management(essential).
2 years' experience in Data monetization(desired).
2 years' experience in Machine learning, AI(desired).
2 years' experience in Project Management(desired).