The Data Architect – AI Enablement will be responsible for designing and governing scalable, secure, and high-quality data architectures, models, integrations, and pipelines that support AI, analytics, automation, and enterprise data initiatives. The successful candidate will drive data governance, quality, lineage, and compliance standards to ensure trusted and compliant AI-enabled decision-making within the bank.
Key Responsibilities
Design and govern scalable, secure, and high-quality data architectures, models, integrations, and pipelines that support AI, analytics, automation, and enterprise data initiatives.
Drive data governance, quality, lineage, privacy, security, compliance, and audit readiness standards to ensure trusted and compliant AI-enabled decision-making.
Assess and enhance the Bank’s data landscape by identifying architecture gaps, defining reusable data assets, and supporting AI readiness and continuous improvement.
Translate business and AI requirements into practical data solutions, architecture standards, mappings, and implementation guidance.
Collaborate with cross-functional teams, vendors, and stakeholders to support AI solution delivery, architecture reviews, innovation initiatives, and enterprise data best practices.
Skills, Competencies and Experience
A Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, Statistics, or a related field.
Professional certification in Data Architecture, Cloud Data Platforms, Data Management, or Enterprise Architecture will be an added advantage.
Exposure or training in AI, machine learning, analytics, or data governance will be an added advantage.
A minimum of 5 years’ relevant experience in Data Architecture, Data Engineering, Enterprise Data Management, or Solution Architecture.
A strong understanding of enterprise data architecture, data modelling, integration architecture, and information management.
Experience designing data solutions across operational systems, APIs, data warehouses, and analytics environments.
A strong understanding of data quality, metadata, lineage, cataloguing, and governance practices.
The ability to translate complex technical data concepts into clear business language.
Experience working collaboratively across business, architecture, engineering, security, and governance teams.
How to Apply
If you are passionate about solving business problems through innovation, data, and intelligent technologies, please forward your application enclosing a detailed Curriculum Vitae to jobs@co-opbank.co.ke indicating the job reference number EBAAI/IID/2026 by 22nd May 2026.
How to Apply
Please forward your application enclosing a detailed Curriculum Vitae to jobs@co-opbank.co.ke indicating the job reference number EBAAI/IID/2026 by 22nd May 2026.
