Data Architect - AI
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Co-operative Bank is hiring an AI Data Architect in Nairobi to define enterprise data architecture, data models and governance standards that support analytics and AI use cases. The role reports to the Head of Artificial Intelligence and involves designing data platform architecture, guiding Data Engineers and partnering with governance teams on data quality and security.
- Reports to Head of Artificial Intelligence
- Designs enterprise data models and data platform architecture
- Full-time role with standard 8 to 5 working hours
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Co-operative Bank is hiring an AI Data Architect in Nairobi to define enterprise data architecture, data models and governance standards that support analytics and AI use cases. The role reports to the Head of Artificial Intelligence and involves designing data platform architecture, guiding Data Engineers and partnering with governance teams on data quality and security.
- Reports to Head of Artificial Intelligence
- Designs enterprise data models and data platform architecture
- Full-time role with standard 8 to 5 working hours
- Based in Nairobi, Kenya
- Focus on data governance, security and AI-ready data foundations
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Original source description
C
Data Architect - AI (Co-op Bank)
Co-operative Bank
Engineering & Technology
Today
New
Nairobi
Full Time
Confidential
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Language Requirement:
English
Work Type:
Full Time
Working Hours:
8 to 5
Applicant Location:
Kenya
Job descriptions & requirements
Co-operative Bank
Are you looking for an employer who promotes individual excellence and mutual respect in a team-driven culture with a key focus on social empowerment?
The Co-operative Bank of Kenya is the place for those looking to new horizons.
AI Data Architect
Reports to:
Head – Artificial Intelligence
The AI Data Architect will be responsible for defining how the Bank’s data is structured, integrated, governed and managed so that it remains trusted, consistent, secure and reusable across the business.
The role establishes enterprise data models, data platform architecture and data standards that support operational reporting, analytics, regulatory requirements and AI use cases, while ensuring the Bank’s data foundations remain fit for current and future business needs.
The Role
Specifically, the successful jobholder will be required to:
Define the target architecture and transition roadmap for the Bank’s enterprise data platforms, including data warehouses, data lakes or lakehouses, real-time streaming capabilities, integration patterns and consumption layers, within the approved enterprise architecture.
Design conceptual, logical and physical data models for priority data products, analytical solutions and AI use cases, with clear definitions, ownership and quality requirements.
Define architecture patterns for data ingestion, storage, transformation, sharing, retention, archival and deletion across batch, streaming and real-time use cases.
Partner with business data owners and Data Governance teams to establish common definitions, metadata, lineage, master and reference data requirements and authoritative sources.
Guide Data Engineers in implementing scalable, reusable and governed data products, ensuring traceability from source to consumption, rationalising legacy data stores, reducing unnecessary duplication and defining migration approaches towards the target-state data platform.
Ensure data designs incorporate security classification, access control, privacy, segregation, encryption, retention, resilience and regulatory requirements by design, including compliance with the Data Protection Act, 2019.
Review data solution designs and proposed changes to source systems for data impact, represent data architecture at the Architecture Review Board, document architecture decisions and exceptions, and ensure identified risks and technical debt have accountable owners and agreed remediation plans.
Maintain enterprise data models, data cataloguing requirements and architecture artefacts, and provide technical guidance to delivery squads, Data Engineers,
Data Scientists, the AI and Data Architect, business data owners and other stakeholders.
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, Mathematics or a related field.
A relevant master’s degree is an added advantage.
Professional certification in data management, data architecture, enterprise architecture or cloud data platforms is an added advantage.
At least seven (7) years of experience in data management, data engineering, database design, analytics or architecture, including at least three (3) years in data architecture or a senior data modelling role.
Demonstrated experience designing enterprise data models and modern analytical data platforms.
Experience in banking, financial services or another data-intensive regulated environment is preferred.
Conceptual, logical and physical data modelling.
Data warehousing, lakehouse, data lake and data product patterns.
Metadata, lineage, master and reference data, and data quality.
Batch, streaming and real-time data architecture.
SQL and relational and non-relational data technologies.
Privacy, security, records retention and resilience by design.
Data architecture governance and design review.
Communication with business data owners and technical teams.
Flexibility to work across business and technology teams and to support critical delivery or production activities when required.
Commitment to confidentiality, responsible use of data and AI, and compliance with the Bank’s policies and control requirements.
How to Apply
If you fit the profile, then apply today!
Please forward your application enclosing a detailed Curriculum Vitae to
, indicating the job reference number AI Data – A/IID/2026 as the subject of your email, by 9 November 2026.
We are an equal opportunity employer.
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