Data Architect – AI Enablement
Job Ad expires on May 22nd, 2026
At Co-operative Bank of Kenya, we are redefining banking through innovation, technology, and customer-centric solutions. As one of Kenya’s leading financial institutions, we are committed to delivering sustainable growth and empowering communities through digital transformation and operational excellence.
To support our growing AI and data transformation agenda, we are seeking a highly skilled, forward-thinking, and collaborative professional to join our Digital Products & Innovation Factory team as a Data Architect – AI Enablement.
Reporting to the Head – Digital Products and Innovation Factory, the role holder will define and govern the data architecture required to support the Bank’s AI and advanced analytics agenda. They will design scalable, secure, reusable, and high-quality data foundations that enable AI use cases across customer experience, operations, decision support, and internal productivity.
Working closely with business, product, engineering, architecture, governance, risk, and security teams, the successful candidate will ensure data used for AI initiatives is trusted, accessible, compliant, and fit for purpose.
This is a unique opportunity to play a pivotal role in shaping the Bank’s enterprise data foundations to power Artificial Intelligence, advanced analytics, intelligent automation, and next-generation digital experiences.
The Role
Specifically, the successful jobholder will be required to:
- 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
The successful candidate will be required to have the following skills and competencies:
- 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.