10 Job Vacancies at CRDB Bank PLC
CRDB Bank PLC · Head Office, Dar es Salaam, Tanzania
10 positionsPermanentBanking & Data / AI
EmployerCRDB Bank PLC
Positions10 (1 opening each)
LocationHead Office, Dar es Salaam
Employment termsPermanent
QualificationBachelor’s degree
Experience3 to 5+ years
Final deadline: 17 November 2026
How to Apply
CRDB Bank PLC is hiring for 10 permanent positions at its Head Office, most of them in the bank’s Data Management Office, plus roles in the Contact Centre and the CRDB Bank Foundation. Positions include data, AI, analytics and governance specialists. Each position has its own deadline, between 8 November 2026 and 17 November 2026, so check the date before you apply.
Different deadlines
The first positions close on 8 November 2026. See the deadline for each position in the table and inside its details.
About CRDB Bank
CRDB Bank PLC is one of Tanzania’s leading commercial banks. The bank is dedicated to upholding sustainability and ESG practices and encourages applicants who share this commitment. It promotes an inclusive workplace, and applications from women and persons with disabilities are encouraged.
List of Available Positions
| # | Position | Department | Deadline | Details |
|---|---|---|---|---|
| 1 | Manager Contact Centre | Customer Experience Unit | 8 November 2026 | View |
| 2 | Specialist Data Modeler | Data Management Office | 16 November 2026 | View |
| 3 | Specialist Data Governance | Data Management Office | 16 November 2026 | View |
| 4 | Specialist Data Catalogue Administrator | Data Management Office | 16 November 2026 | View |
| 5 | Specialist Data Lineage | Data Management Office | 17 November 2026 | View |
| 6 | Specialist Metadata | Data Management Office | 17 November 2026 | View |
| 7 | Program Management Specialist | CRDB Bank Foundation | 9 November 2026 | View |
| 8 | Manager Artificial Intelligence Portfolio Delivery | Data Management Office | 9 November 2026 | View |
| 9 | Specialist Data Integration | Data Management Office | 9 November 2026 | View |
| 10 | Specialist Data Analyst | Data Management Office | 17 November 2026 | View |
Position Details
Tap a position to see its purpose, responsibilities and requirements.
01Manager Contact Centre
DepartmentCustomer Experience Unit
LocationHead Office, Dar es Salaam
Reports to—
Openings / Terms1 · Permanent
Job purpose
The Manager Contact Centre will be accountable for managing response through established clients touch point for CRDB Bank, Contact Centre, Chatbot & Self Service (IVR). The Manager will lead and manage the team and ensure daily shifts are managed efficiently and maximize productivity per agent. Manager will also be responsible to coach and motivate agents for better performance of the centre.
Principal responsibilities
- Manage Contact Centre service levels by working closely with Team Leaders to ensure agents respond to customers promptly and efficiently.
- Analyse processes which can be automated through Agentic AI,Co Pilot Mode, Full Mode and the use of auto responses through Chatbot.
- Analyse customer calls and dispositions to identify trends, then develop strategies in collaboration with product owners to minimize or prevent recurring calls.
- Serve as a key knowledge resource on the Bank’s products, services, procedures, branch locations, and marketing campaigns, ensuring accurate information is shared with agents to enhance service delivery.
- Review chatbot interactions and drive continuous improvements in BOT performance and customer journeys, with the objective of reducing inbound call volumes.
- Conduct regular coaching sessions for agents and Team Leaders to improve service quality across all Contact Centre channels.
- Oversee the onboarding of new Contact Centre agents and Team Leaders, ensuring a smooth transition and effective learning curve management.
- Identify opportunities to improve First Call Resolution, reduce Average Handling Time (AHT), and enhance customer experience through system and platform improvements while optimizing costs.
- Facilitate Closed User Group sessions to identify customer pain points and implement process improvement initiatives to enhance the overall customer experience.
- Coordinate the Employee of the Month program across all Contact Centre segments to promote engagement and high performance.
- Ensure optimal staffing levels through effective workforce scheduling and timely adjustments to meet peak service demands in line with the Bank’s standards.
- Prepare various Contact Centre reports and submit them to Senior Management for review and decision-making.
- Conduct performance management cycles in line with the Bank’s policies and processes to ensure compliance and continuous development.
- Collaborate with the Quality Assurance team to identify training needs through interaction reviews and regular call calibrations, driving agent efficiency and performance.
Qualifications and experience
- Bachelor’s degree in Business Administration, Marketing, Telecommunications, Information Technology, Computer Science, Customer Experience Management, Operations Management, or a related field from a recognized institution.
- Minimum of five (5) years of relevant professional experience in Operations Management, Contact Centre Management, Marketing, or a related field, including at least two (2) years in a managerial or supervisory role.
- Strong knowledge of Contact Centre systems, Workforce Management, Erlang calculations, and First Call Resolution (FCR) principles.
- Knowledge of Artificial intelligence Chatbots (Agentic) is a must.
- Specialization in Contact Centre Operations will be an added advantage.
- Contact Centre Manager Certification or a related professional certification will be an added advantage.
02Specialist Data Modeler
DepartmentData Management Office
LocationHead Office, Dar es Salaam
Reports toManager Data Architecture and Integration
Openings / Terms1 · Permanent
Job purpose
The Specialist, Data Modeler exists to develop and maintain consistent conceptual, logical and physical data models for the Bank’s governed data platforms. The role translates approved business definitions and architecture into reusable models for the warehouse, lakehouse, data marts and master-data capabilities. The role provides modelling expertise and technical review. Enterprise architecture direction, final design authority and BI semantic architecture remain with the Manager/Data Architect and BI Architect respectively. The role also supports model validation, implementation conformity, data migration and reconciliation, and the maintenance of accurate, version-controlled model documentation throughout the model lifecycle.
Principal responsibilities
- Develop and maintain conceptual, logical, and physical data models. Design enterprise-wide data structures supporting operational and analytical systems. Establish and maintain subject area models for key business domains such as Customer, Product, Account, Loan, Branch, Employee, and Vendor. Ensure data models comply with enterprise architecture standards and data governance policies.
- Design physical models for staging, ODS, warehouse, marts and lakehouse layers (raw, curated, consumption) using fit-for-purpose techniques (3NF, dimensional/star schema, Data Vault), including business keys, surrogate keys and slowly changing dimension/history patterns. Define dimensional and analytical models optimized for reporting and analytics. Support schema evolution and data scalability requirements.
- Design reusable dimensional and semantic models for Power BI/SSAS and governed data products, so that KPIs and reported figures are calculated once and consistently.
- Define and enforce data modelling standards, naming conventions, data types, key and history rules, and model review checklists, aligned with the EDWH naming conventions and data architecture principles.
- Engage business stakeholders to translate requirements into data models. Work with Data Architects, Data Engineers, Data Stewards, BI Developers, and Solution Architects. Participate in project design reviews and architecture governance forums, and ensure existing models re-use where suitable.
- Review and approve data model changes from projects, vendors and DICT before build; assess impact on downstream tables, ETL and reports with the Data Lineage and Integration Specialists; maintain version-controlled model artefacts.
- Collaborate with Data Engineers to design source-to-target mappings. Define transformation rules for ETL/ELT processes. Document data lineage from source systems to reporting layers. Support metadata management initiatives.
- Embed data quality controls within data models. Identify and resolve data inconsistencies and redundancies. Support data quality monitoring and remediation initiatives. Ensure compliance with regulatory and audit requirements.
- Optimise physical models with DBAs and engineers through partitioning, indexing, compression and aggregation strategies to meet ETL windows and reporting performance targets.
- Align models with the business glossary, CDEs, reference data and MDM golden-record structures; publish models and data dictionaries to the catalogue through the Master Data & Metadata Unit; apply classification so personal data is identified and protected per the Personal Data Protection Act 2022.
- Report on model coverage, standards compliance and design review turnaround, and coach engineers, analysts and vendors on reading and using the models.
Qualifications and experience
- Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Science or a related field.
- Certified Data Management Professional (CDMP), DCAM certification, Data Vault 2.0 certification, TOGAF, or Oracle/Microsoft/cloud data certification are added advantage.
- Minimum of 3 years of experience in data modelling, data architecture, data warehousing, data integration, or related data management roles in a complex enterprise environment.
- DAMA-DMBOK2 Data Modelling & Design and Data Architecture, with working knowledge of Metadata, Data Integration, Reference & Master Data and Data Quality. EDM Council DCAM data and technology architecture capabilities, and how model governance evidences them.
- Advanced SQL and DDL on Oracle and SQL Server, with understanding of physical design and query performance. T24 core banking data structures; Oracle/Exadata and lakehouse storage design; BCBS 239 principles; Personal Data Protection Act 2022.
- Hands-on use of data modelling tools (e.g., erwin Data Modeler, ER/Studio, Oracle SQL Developer Data Modeler, PowerDesigner, SqlDBM). Modelling techniques: entity-relationship/3NF, dimensional (Kimball), Data Vault 2.0, and lakehouse/medallion design; normalisation, keys, history and temporal modelling.
- Dimensional and semantic modelling for BI (Power BI, SSAS tabular/DAX). Ability to read ETL mappings and source system schemas and reverse-engineer existing databases.
- Banking data domains and industry reference models (e.g., BIAN, FIBO or vendor banking data models) and how regulatory and financial reports are derived. Requirements elicitation and facilitation with business and technical stakeholders.
- Clear documentation and ability to explain models to non-technical audiences.
- Develop and maintain conceptual, logical, and physical data models for staging, operational, warehouse, mart, and lakehouse layers, ensuring alignment with business definitions, Data Owners, enterprise architecture standards, and history requirements.
- Translate approved business, regulatory, and analytical requirements into reusable enterprise data structures, dimensional models, and source-to-target mappings while preserving data meaning, keys, history, and traceability. Align data models with approved glossary terms, Critical Data Elements (CDEs), classifications, reference data, MDM rules, and BI semantic layer requirements, while publishing metadata through established catalogue processes.
- Apply approved modelling standards, conventions, and checklists; identify non-compliance, conduct model reviews, provide impact assessments, and support escalation to the relevant design or architectural authority. Collaborate with DBAs, Integration Specialists, and Engineers to design partitioning, indexing, aggregation, and storage structures that meet approved performance, scalability, and operational requirements. Measure model quality, documentation completeness, standards compliance, and review turnaround times, while coaching delivery teams on best practices and correct model usage.
03Specialist Data Governance
DepartmentData Management Office
LocationHead Office, Dar es Salaam
Reports toManager Data Architecture and Integration
Openings / Terms1 · Permanent
Job purpose
The role is responsible to operationalize CRDB’s approved Data Governance Framework by maintaining clear decision rights, ownership and stewardship, coordinating governance forums, monitoring governance controls and ensuring data issues and exceptions are routed to accountable owners. The role coordinates governance across data disciplines.
Principal responsibilities
- Operationalize the Data Governance Framework and RACI: identify and onboard Data Owners, Data Stewards and System Custodians by domain, maintain the ownership register, and keep role assignments current as people and systems change.
- Draft, review and maintain data governance policies, standards and SOPs (e.g., data governance, data standards, data quality, classification, retention and archival, data sharing) and align them with ICT, Information Security, Risk and Privacy policies; take them through approval and annual review.
- Act as secretariat for the Data Governance Council and domain working groups: prepare agendas and papers, record decisions and actions, and track them to closure.
- Define governance controls and evidence requirements, run periodic compliance checks against approved policies and standards, log exceptions and waivers, and escalate material non-compliance through the Manager.
- Run the enterprise data issue log, assign owners, track ageing and resolution, and route cross-domain disputes to the right decision forum.
- Embed governance checkpoints in system procurement, SDLC and change management so that ownership, definitions, classification, quality rules, lineage and retention are agreed before go-live.
- Map governance controls to Bank of Tanzania requirements, PDPA 2022 and BCBS 239 good practice; coordinate audit and regulatory requests on data governance; and work with the DPO on data subject request handling, retention and data sharing ownership.
- Maintain the governance scorecard and Unit BSC inputs (ownership coverage, policy compliance, issue ageing, stewardship activity), and support periodic data management maturity assessments against DAMA/DCAM and track the improvement roadmap.
- Work with the Data Quality, Master Data & Metadata, Data Architecture & Integration and Enterprise Analytics & BI units so that standards are consistent and decisions are recorded once.
- Design and deliver awareness and training for leaders, Data Owners, Stewards and staff, and maintain governance guidance and communications on the DMO SharePoint site.
Qualifications and experience
- Bachelor’s degree in Information Systems, Computer Science, Business Administration, Risk Management, Law, Information Management or a related field.
- Certified Data Management Professional (CDMP), DCAM certification, CIPP/CIPM or other data privacy certification, or COBIT/CISA are added advantages.
- Minimum of 3 years of experience in data governance, data management, data quality, metadata management, compliance, risk management, information management, or related roles in a complex enterprise environment.
- DAMA-DMBOK2 Data Governance, with working knowledge of all other knowledge areas, particularly Data Quality, Metadata, Reference & Master Data, Data Security and Data Architecture.
- EDM Council DCAM components and scoring, and how they are evidenced in maturity assessments.
- Use of governance and catalogue tools (e.g., Microsoft Purview, Collibra, Informatica) and SharePoint/Power BI for registers and scorecards; working SQL is an advantage.
- Governance operating models, decision rights, RACI, policy lifecycle, control design and issue management.
- Personal Data Protection Act 2022, Bank of Tanzania data and reporting requirements, and BCBS 239 principles as good practice.
- Banking products and processes; ISO 8000 and ISO/IEC 38505 (governance of data); COBIT; risk and control frameworks.
- Policy and standards writing that is precise, practical and enforceable.
- Facilitation and influence across senior business and technology stakeholders without direct authority. Programme coordination: tracking decisions, actions and deadlines across many owners. Analytical skills to assess control effectiveness and compliance evidence.
- Implement the approved governance framework and RACI, maintain the Data Owner, Data Steward and System Custodian register, and coordinate onboarding and role changes. Maintain the central register and review cycle for approved data policies, standards and procedures; coordinate contributions from accountable capability and control owners rather than authoring every specialist policy.
04Specialist Data Catalogue Administrator
DepartmentData Management Office
LocationHead Office, Dar es Salaam
Reports toManager Master Data and Metadata
Openings / Terms1 · Permanent
Job purpose
The role is responsible to operate the enterprise data catalogue as a reliable, secure and usable application. The role owns functional and application administration of the catalogue, including configuration, connectors, metadata harvesting, workflow configuration, catalogue access roles, monitoring and vendor escalation. The role does not own metadata definitions, lineage validation, business classification decisions, server infrastructure, databases or enterprise identity controls. These remain with the Metadata and Lineage specialists, Data Owners, ICT and control functions respectively.
Principal responsibilities
- Install, configure, upgrade and administer the enterprise data catalogue across environments; manage collections/domains, asset types, custom attributes and templates in line with the metadata standards set by the Specialist, Metadata.
- Register and maintain connections to core banking (T24), channel, MDM, data warehouse, lakehouse, ETL and BI sources; schedule and monitor automated scans so technical metadata stays current, and resolve scan failures with System Custodians.
- Configure lineage extraction from databases, ETL/ELT pipelines and BI tools, and automated classification and sensitivity detection rules; validate results with the Specialist Data Lineage and Specialist, Metadata before publication.
- Implement role-based access in the catalogue (administrators, curators, stewards, consumers) under least-privilege principles; integrate with enterprise identity (e.g., Active Directory/Entra ID) and ensure sensitive metadata and sample data are protected per Information Security and PDPA requirements.
- Configure and maintain catalogue workflows for glossary term approval, ownership assignment, certification of assets, and data access requests, so that approvals are routed to the right Data Owners and Stewards and leave an audit trail.
- Integrate the catalogue with data quality, MDM, data warehouse/lakehouse, BI and access-control platforms through connectors and APIs, so that quality scores, golden-record links, lineage and classifications appear against catalogue assets.
- Monitor availability, performance, scan success, storage and licence usage; manage incidents, problems and changes through ICT service management; act as the Bank’s first-line catalogue support and lead Level 3 escalation with the vendor.
- Report platform KPIs (sources onboarded, scan success rate, metadata freshness, lineage coverage, active users, search and access-request volumes, SLA performance) to the Manager and data governance forums.
- Maintain audit logs, configuration documentation, run-books, backups and recovery procedures; support internal audit and regulatory reviews with evidence of catalogue controls.
- Provide user onboarding, guides and training for stewards, curators and data consumers, and gather feedback to improve search, navigation and self-service features.
Qualifications and experience
- Bachelor’s degree in Computer Science, Information Systems, Information Technology, Software Engineering or a related field.
- Data catalogue vendor certification (Microsoft Purview/Azure Data, Collibra, Informatica), Certified Data Management Professional (CDMP), DCAM certification, or ITIL Foundation.
- Minimum of 3 years of experience in data catalogue administration, metadata management, data governance, data management, information management, or related data platform support roles.
- DAMA-DMBOK2 Metadata Management, Data Security, and Data Integration & Interoperability knowledge areas. EDM Council DCAM data and technology architecture and data governance capabilities, and how catalogue controls evidence them.
- Data catalogue architecture: connectors, scanners, metadata models, lineage harvesting, classification engines, APIs and workflow engines. Identity and access management concepts (RBAC, least privilege, SSO), and the Personal Data Protection Act 2022 as it applies to metadata and sample data.
- Relational databases (Oracle, SQL Server), data warehouse/lakehouse platforms, ETL/ELT tools (e.g., ODI, OGG), BI tools (Power BI), cloud and on-premise deployment, and ITIL service management. SQL proficiency and understanding of database system catalogues to troubleshoot scans and validate harvested metadata. Scripting and API skills (e.g., Python, PowerShell, REST) to automate administration, bulk loads and integrations.
- Hands-on administration of a data catalogue platform (e.g., Microsoft Purview, Informatica CDGC/EDC, Collibra, Alation, Ataccama, Apache Atlas). Configuration of workflows, roles, custom attributes and classification rules.
- Structured troubleshooting, documentation and change-management discipline. Clear communication and user-support skills, with ability to train non-technical users.
- Configure and administer catalogue application features, domains, asset types, attributes and templates in line with approved metadata standards; coordinate infrastructure and database activities with ICT. Configure and maintain approved source connections and scan schedules, monitor metadata harvesting and coordinate resolution of connectivity or scan failures. Operate lineage and classification scanners and publish results only after validation by the responsible Lineage, Metadata, Privacy or Security role.
- Implement approved catalogue roles and access profiles, integrate with enterprise identity services and escalate identity or privileged-access issues to IAM and Information Security. Configure approved workflows for glossary review, ownership assignment, asset certification and data-access requests, ensuring complete audit trails. Configure supported catalogue integrations with data quality, MDM, data platforms, BI and access-control tools under approved designs.
- Monitor application availability, performance, scan success, licence use and functional incidents; provide Level 2 support and coordinate Level 3 vendor escalation. Report catalogue application KPIs including source onboarding, scan success, freshness, platform usage and service performance. Maintain application configuration records, runbooks, audit logs and recovery requirements; ICT remains accountable for infrastructure backup and technical recovery execution. Provide application onboarding, user guides and training for stewards, curators and catalogue consumers.
05Specialist Data Lineage
DepartmentData Management Office
LocationHead Office, Dar es Salaam
Reports toManager Master Data and Metadata
Openings / Terms1 · Permanent
Job purpose
The Specialist, Data Lineage exists to establish and maintain reliable traceability from authoritative sources through transformation and storage to reports, regulatory outputs and analytical products. The role develops lineage records, validates automated and manual lineage, maintains evidence and performs impact analysis in accordance with approved lineage standards. The Manager, Master Data & Metadata remains accountable for the lineage capability and standards. Data Owners remain accountable for confirming business meaning and domain lineage; the specialist provides the analysis, coordination and assurance required for those decisions.
Principal responsibilities
- Build and maintain business, system, table and column-level lineage, starting with regulatory submissions and CDEs, then management reports, priority domains (Customer, Product), analytical products and AI data flows.
- Analyse SQL, stored procedures, ETL/ELT mappings, pipeline code, job schedules and report logic to document how data moves and changes, including joins, filters, business rules, aggregations and adjustments, especially where automated scanners cannot parse the logic.
- Validate harvested and manual lineage against actual production flows; recertify lineage for CDEs and regulatory reports on a defined cycle and after every material change.
- Log lineage gaps, undocumented transformations, broken dependencies and inconsistent mappings in a gap register, assign each to an accountable owner and track to closure.
- Define the lineage standard (scope, level of detail, notation, minimum evidence, update triggers) with Data Architects, Owners and Stewards for approval through the data governance forum, and embed lineage checks into project delivery and change management so new or changed data flows have validated lineage before go-live.
- Provide upstream and downstream impact assessments for proposed changes to systems, schemas, interfaces, ETL jobs, data models and reports, naming affected reports, controls, owners and required remediation, within agreed timelines.
- Support root-cause analysis of data quality, reconciliation and ETL incidents by showing where figures are sourced, transformed or altered, working with Data Operations and the Data Governance & Quality Unit.
- Link lineage to business terms, CDEs, authoritative sources, owners, stewards, classifications and controls, working with the Specialist, Metadata; define harvesting requirements and test scanner outputs, while the Specialist, Data Catalog Administrator operates the scanners and publishes validated lineage.
- Provide lineage diagrams, source-to-target mappings and validation records for Bank of Tanzania reporting, internal and external audit, and trace personal and sensitive data flows to support PDPA obligations, DPIAs, data sharing and retention controls.
- Report lineage KPIs (CDE and regulatory-report coverage, validation status, open and ageing gaps, stale maps, impact-assessment turnaround) to the Manager, and train stakeholders to read and use lineage.
- Establish and maintain end-to-end lineage from source transactions and authoritative systems, through interfaces, CDC/replication, ETL/ELT transformations, staging and data warehouse models, to semantic layers, dashboards, management reports and regulatory submissions. Document the business rules, calculations, reconciliation points and dependencies required to explain how reported figures are derived.
Qualifications and experience
- Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Management or a related field.
- Professional certification in data management, such as Certified Data Management Professional (CDMP), DCAM certification, a lineage/catalogue platform certification, or a data engineering certification, will be an added advantage.
- Minimum of 3 years of relevant experience in data management, data engineering, data integration, business intelligence, data architecture, or a closely related discipline.
- Advanced SQL skills with the ability to read and interpret stored procedures, ETL/ELT mappings (e.g., ODI), pipeline code, and BI report logic (e.g., Power BI/DAX, SSAS), as well as basic scripting skills (e.g., Python) for parsing code, validating lineage, and troubleshooting metadata ingestion.
- Hands-on experience with lineage or catalogue tools (e.g., Microsoft Purview, Manta, Informatica, Collibra, Ataccama, Alation), including manual lineage curation where automated scanners fall short, and experience with enterprise data lineage or data catalogue platforms, including validation and manual curation of lineage where automated discovery is incomplete.
- Demonstrated ability to prepare source-to-target mappings, data flow diagrams, impact assessments, conduct lineage walkthroughs for business, audit, and technology stakeholders, and trace data across source systems, transformation pipelines, data warehouses, and reporting solutions.
- Strong analytical rigour, attention to detail, and communication skills, with the ability to analyse complex SQL, ETL/ELT logic, data mappings, report calculations, trace figures, identify data breaks, and clearly explain technical data flows to diverse audiences.
- Knowledge of DAMA-DMBOK2 Metadata Management and Data Integration & Interoperability, with working knowledge of Data Quality, Data Modelling, Data Governance, and EDM Council DCAM data and technology architecture and data quality capabilities.
- Knowledge of data lineage concepts, including business and technical lineage, source-to-target mapping, column-level lineage, automated harvesting and stitching, impact analysis, and data integration and architecture concepts such as ETL/ELT, CDC/replication, event streaming, APIs, operational systems, data warehouses, and lakehouses.
- Knowledge of BCBS 239 principles for risk data aggregation and reporting, banking products and how financial and regulatory reports are derived from source transactions, T24 data structures, and the Personal Data Protection Act, 2022.
06Specialist Metadata
DepartmentData Management Office
LocationHead Office, Dar es Salaam
Reports toManager Master Data and Metadata
Openings / Terms1 · Permanent
Job purpose
The role is responsible to create and maintain a trusted understanding of CRDB data assets, including business terms, definitions, data dictionaries, critical data elements, ownership and classification metadata. The role curates metadata content and implements approved metadata standards through the enterprise catalogue. The role supports regulatory compliance, data governance, data quality, reporting, analytics, AI initiatives, and business decision-making by providing clear visibility into data definitions, ownership, lineage, and usage.
Principal responsibilities
- Develop, maintain and enforce the Bank’s metadata framework, standards and procedures. Manage business, technical, and operational metadata within the bank's metadata repository. Ensure critical data elements (CDEs) are properly documented and maintained. Establish metadata naming conventions and classification standards. Maintain data dictionaries, glossaries, and data catalogs.
- Collaborate with business units to define and document business terms. Facilitate approval and governance processes for business definitions. Ensure consistent use of terminology across the organization. Resolve conflicts related to data definitions and interpretations.
- Produce and maintain data dictionaries for core banking, channel, MDM, data warehouse and lakehouse assets, and document critical data elements with definitions, valid values, owners and linked data quality rules.
- Link metadata management activities with data quality initiatives. Define data quality rules and business definitions. Ensure quality metrics are aligned with approved metadata standards. Support remediation of metadata-related data quality issues.
- Define what the catalogue must hold and run curation of technical, business and operational metadata, working with the Data Catalog Administrator on harvesting scope and validating harvested metadata for completeness and accuracy.
- Link every catalogued asset and CDE to its Data Owner, Data Steward and System Custodian, and keep these assignments current as people and systems change.
- Apply and maintain data classification and PII/sensitivity tags per the Data Classification Policy and the Personal Data Protection Act 2022, and supply these tags to access-control, privacy and retention processes in partnership with the DPO and Information Security.
- Document end-to-end data lineage from source systems to reports and regulatory submissions. Identify data dependencies across systems and business processes. Perform impact assessments for system changes, regulatory requirements, and new initiatives. Support root cause analysis of data quality and reporting issues.
- Define and report metadata KPIs (glossary coverage, CDE documentation rate, ownership coverage, classification coverage, metadata freshness, catalogue adoption) to the Manager and data governance forums, and drive closure of gaps.
- Review new systems, data changes and projects (including DMP and MDM delivery) to ensure required metadata, definitions and classifications are delivered before go-live.
- Train and support Data Stewards and data consumers on using the glossary and catalogue, and promote metadata-driven self-service across business units.
- Support data scientists, analysts, and BI teams in locating trusted data sources. Maintain metadata required for AI and analytics use cases. Support data discoverability and reuse across the organization. Facilitate understanding of data for AI model development and governance.
Qualifications and experience
- Bachelor’s degree in Information Systems, Computer Science, Information/Records Management, Data Science, Statistics or a related field.
- Certified Data Management Professional (CDMP), DCAM certification (EDM Council), or a data catalogue vendor certification (e.g., Microsoft Purview, Collibra, Informatica) are added advantage.
- Minimum of 3 years of experience in Metadata Management, Data Governance, Data Quality, Data Management, Master Data Management (MDM), Data Warehousing, Business Intelligence, or a related data management field.
- Draft and maintain metadata standards, mandatory attributes, and curation procedures for Manager approval, implement approved requirements across assigned domains, and define content requirements while curating business and technical metadata in collaboration with the Catalogue Administrator.
- Facilitate term and KPI definition with business stakeholders, maintain approved glossary content, administer versioning, review and retirement processes, and promote the consistent use of approved definitions through stakeholder training and awareness initiatives.
- Curate data dictionaries and CDE metadata, including definitions, valid values, ownership, classification, and links to approved quality rules, while maintaining approved Data Owner, Data Steward, and System Custodian assignments in metadata records.
- Apply approved classification and sensitivity labels, maintain their metadata representation, and escalate missing stewardship appointments or governance issues through the approved Data Governance process.
- Connect business terms and CDEs to validated technical assets and lineage in collaboration with the Lineage Specialist and maintain alignment between business and technical metadata.
- Measure and monitor definition, ownership, classification, freshness, and catalogue-coverage gaps, coordinate corrective actions with accountable stakeholders, and review projects and data changes to ensure metadata requirements are completed before go-live.
- Knowledge of DAMA-DMBOK2 Metadata Management and related disciplines, including Data Governance, Data Quality, Data Modelling, Reference Data, and Master Data Management.
- Knowledge of EDM Council DCAM capabilities, particularly metadata, data governance, data quality, and data architecture, and their application in maturity assessments.
- Strong understanding of metadata management concepts, including business, technical and operational metadata, glossary and taxonomy design, CDE management, data classification, and data lineage.
- Knowledge of banking data domains, core banking (T24) data structures, ISO/IEC 11179 metadata registry concepts, and data warehouse and lakehouse architectures.
- Knowledge of the Personal Data Protection Act, 2022, Bank of Tanzania data and regulatory reporting requirements, and BCBS 239 principles for risk data aggregation and reporting.
- Hands-on experience with a data catalogue or metadata platform (e.g., Microsoft Purview, Informatica CDGC/EDC, Collibra, Alation, Ataccama, Cloudera/Apache Atlas), and SQL proficiency to query database catalogues, profile data, validate harvested technical metadata, and interpret data models and ETL mappings.
07Program Management Specialist
DepartmentCRDB Bank Foundation
LocationCRDB Bank Foundation (Subsidiary)
Reports toManager Programs Partnership Development
Openings / Terms1 · Permanent
Job purpose
To support the Manager of Programs in implementing and managing programs and partnerships at CRDB Bank Foundation. The role is responsible for coordinating program activities, monitoring and evaluating program performance, supporting stakeholder engagement, and contributing to resource mobilization and grant management efforts. The position requires strong program management skills, stakeholder engagement skills, and the ability to manage multiple programs simultaneously to ensure timely delivery, compliance with donor requirements, and measurable social impact.
Principal responsibilities
- Support the manager of programs and partnerships development in coordinating and implementing program activities, managing program documentation, timelines, and performance dashboards, and ensuring initiatives are delivered on schedule and aligned with the Foundation's strategy and partner requirements.
- Coordinate the day-to-day implementation of assigned programs, including youth entrepreneurship, financial literacy, incubation, and community development programs, while monitoring program milestones and preparing regular progress reports.
- Maintain and update Monitoring and Evaluation (M&E) tools, program trackers, and performance dashboards; collect and analyse program data to track progress against set targets and contribute to learning and program improvement.
- Support the development and maintenance of partnerships with community organizations, government agencies, private sector partners, and development partners, including coordinating stakeholder meetings, workshops, and field visits.
- Assist in preparing grant proposals, concept notes, progress reports, and financial accountability reports for donors and partners, ensuring compliance with grant requirements and reporting timelines.
- Support the preparation and coordination of the Foundation's annual reports, program reports, newsletters, website content, social media posts, and other publications.
- Prepare briefs, meeting minutes, presentations, and reports for senior stakeholders, and support the planning and coordination of internal review meetings and strategy sessions.
- Coordinate program logistics, including procurement of services, event management, travel arrangements, and vendor coordination, to ensure smooth program delivery.
- Support resource mobilization efforts by researching funding opportunities, tracking grant pipelines, and maintaining an updated database of current and prospective donors and partners.
- Maintain and update program trackers, and performance dashboards; collect and analyse program data to track progress against set targets and contribute to learning and program improvement.
- Prepare monthly, quarterly, and annual program reports for internal and external stakeholders, including development partners, donors, EXCO, and the Board, ensuring that program performance, outcomes, and impact are clearly documented and communicated.
Qualifications and experience
- Bachelor's degree and above in Project Management, Business Administration, Social Work/Sociology, Public Administration, Entrepreneurship Development, Business Management, Project Planning or a related field.
- Minimum of 3 years of relevant experience in program management, project management, or a related role.
- Experience in managing social impact programs, NGO projects, development programs, or entrepreneurship initiatives from inception to completion.
- Demonstrated experience in monitoring and evaluation, program reporting, data management, and performance tracking.
- Ability to develop clear, engaging, and professional content for annual reports, program publications, and other communication materials.
- Strong written and verbal communication skills in both English and Swahili, including the ability to translate program results and technical information into accessible communication for different audiences.
- Strong program and project management skills, including planning, coordination, implementation, and performance monitoring.
- Experience working with community stakeholders, government agencies, private sector organizations, financial institutions, or development partners.
- Proficiency in MS Office Suite, particularly Word, Excel, and PowerPoint, and the ability to use program management tools, databases, and digital communication platforms.
- Strong organizational skills and time management skills, with the ability to manage multiple tasks and meet deadlines.
- Strong analytical skills, attention to detail, and the ability to communicate effectively and ensure data quality and integrity.
- Excellent interpersonal skills, creativity, and the ability to work collaboratively with diverse teams and partners.
08Manager Artificial Intelligence Portfolio Delivery
DepartmentData Management Office
LocationHead Office, Dar es Salaam
Reports toHead of Data Management
Openings / Terms1 · Permanent
Job purpose
The Manager, AI Portfolio Delivery leads Data Scientists and Feature Engineers, owning technical quality and delivery. The role directs modelling and feature engineering, reviews code and evidence, resolves complex problems and coaches specialists. It coordinates portfolio delivery and engineering handover while preserving independent validation and formal approval.
Principal responsibilities
- Set the technical direction and delivery plan for Data Scientists and Feature Engineers, aligning work with business priorities, data readiness and available capacity.
- Translate business problems into modelling objectives, baselines, measurable acceptance criteria and feasible technical solution designs.
- Lead selection and review of statistical and machine learning methods, testing assumptions, suitability, complexity and alternatives before development proceeds.
- Direct feature design, transformation and reusable pipelines; review data quality, lineage, leakage risks and consistency between training and production inputs.
- Review Python and SQL code, experiments and pipeline designs; require reproducibility, version control, automated tests and peer review before handover.
- Challenge model results using appropriate test splits, benchmarks and error analysis; assess calibration, explainability, fairness and robustness where relevant.
- Guide retrieval, prompting and evaluation for generative AI and bounded agent workflows; test grounding, source permissions, tool limits and human oversight.
- Resolve complex modelling and feature-pipeline problems through hands-on analysis, code review and targeted prototyping with the team.
- Define technical handover requirements with ML Engineering and ML Ops, covering scoring consistency, interfaces, performance, monitoring and rollback readiness.
- Review drift, model-quality and feature-quality evidence with Model Owners; recommend remediation or retraining and route material changes through required gates.
- Ensure complete development evidence, limitations and control documentation; address validation findings without substituting team review for independent validation.
- Manage portfolio scope, resources, budgets, dependencies and supplier technical deliverables; report quality, delivery risks and benefits against agreed baselines.
- Coordinate business acceptance and adoption with business owners and the AI Business Analyst & Adoption role; distinguish measured value from forecasts.
- Set staff objectives, review technical performance and coach Data Scientists and Feature Engineers; strengthen specialist capability, shared practices and succession.
- Establish and continuously improve standards for model development, feature engineering, experimentation, coding practices, documentation, and quality assurance to promote consistency and engineering excellence across the AI portfolio.
- Collaborate with Data Engineering, ML Engineering, MLOps, ICT, Architecture, Cybersecurity, and business stakeholders to ensure successful delivery, operational readiness, and long-term sustainability of AI solutions.
- Monitor portfolio performance, delivery milestones, technical risks, resource utilization, and dependencies, implementing corrective actions to maintain delivery commitments and quality standards.
- Support compliance with the Bank’s AI Governance Framework, Model Risk Management Standards, Data Governance Requirements, Responsible AI Principles, and applicable regulatory obligations.
- Evaluate emerging artificial intelligence, machine learning, feature engineering, analytics, and generative AI techniques and recommend opportunities to enhance business value, model performance, and delivery effectiveness.
- Promote innovation, knowledge sharing, technical mentoring, and continuous learning across Data Scientists and Feature Engineers to strengthen organizational AI capabilities.
Qualifications and experience
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Data Engineering, Engineering, Analytics, Information Systems, or a related quantitative discipline.
- A Master's degree in Data Science, Artificial Intelligence, Machine Learning, Statistics, Computer Science, Engineering, Analytics, Business Analytics, Technology Management, MBA, or a related field will be an added advantage.
- Professional certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, Data Engineering, Agile Delivery, Project Management, Product Management, or related disciplines will be an added advantage.
- Relevant advanced AI, data engineering or cloud certification is an advantage; delivery certification is supplementary.
- Minimum of 5 years of hands-on data science, machine learning, artificial intelligence, advanced analytics, feature engineering, or data engineering experience.
- Minimum of 3 years of experience leading Data Scientists, Feature Engineers, analytics teams, or complex AI and data delivery initiatives.
- Strong Python, SQL, statistics, model evaluation and feature-pipeline skills; proven code-review and troubleshooting ability.
- Knowledge of banking operations, digital banking, customer analytics, fraud detection, credit risk, collections, financial crime, or related financial services use cases will be an added advantage.
- Experience delivering predictive and generative AI, reproducible experiments, reliable pipelines and monitored production solutions.
- Ability to challenge designs, mentor specialists and balance technical quality, delivery priorities, costs and business outcomes.
- Strong knowledge of statistical modelling, machine learning algorithms, feature engineering, model monitoring, explainability techniques, bias assessment, and model lifecycle management.
- Experience working with cloud platforms, modern data platforms, MLOps practices, version control systems, experiment tracking tools, and collaborative software development environments.
09Specialist Data Integration
DepartmentData Management Office
LocationHead Office, Dar es Salaam
Reports toManager Data Architecture and Integration
Openings / Terms1 · Permanent
Job purpose
The Specialist, Data Integration is responsible for designing, developing and continuously improving secure, reliable and scalable data integration solutions that enable timely, accurate and controlled movement of data across CRDB’s source systems, governed data platforms and authorized consumers. The role delivers batch, ETL/ELT, change data capture, streaming, managed file exchange and approved data API integrations in line with the Bank’s architecture, security, data governance and service standards. The role, it provides Level 2 and Level 3 support for complex or recurring integration failures, leads root-cause analysis and implements permanent corrective solutions. Routine production monitoring, scheduled reruns and first-line recovery remain with Data Operations unless otherwise assigned through the approved service model.
Principal responsibilities
- Design, develop and unit-test batch ETL/ELT, CDC and streaming pipelines (e.g., ODI, Oracle GoldenGate, Kafka, NiFi, Informatica or lakehouse-native tools) from source to staging, warehouse, data marts and lakehouse, following approved architecture, naming conventions and idempotent-load standards.
- Onboard new data sources through the data source registration process: analyse source structures, agree extraction method and schedule with System Custodians, and produce source-to-target mappings and interface specifications.
- Monitor daily loads, replication and streaming lag; resolve failed jobs within agreed SLAs; manage reruns and backfills with full audit trail; and drive permanent fixes so the Bank depends less on manual intervention.
- Lead root-cause analysis for recurring integration incidents (e.g., broken connections, schema drift, constraint violations, Kafka/OGG lag, stuck extractions) and track corrective actions to closure with DICT and vendors.
- Build reconciliation and validation controls into every pipeline (row counts, hash/control totals, null, uniqueness and referential checks, schema-drift alerts), and quarantine and escalate failed data per the data quality SOP.
- Tune extraction and load performance (incremental loads, partitioning, parallelism, query optimisation) with DBAs to meet batch windows and real-time latency targets as volumes grow.
- Build and maintain governed APIs, file and message interfaces for internal consumers, regulators (e.g., RTSIS) and approved third parties, with security, versioning and service levels defined.
- Apply least-privilege service accounts, encryption in transit, masking of personal data in non-production, and segregation between development, UAT and production, in line with Information Security policy and the Personal Data Protection Act 2022.
- Deliver all changes through version control, UAT and change management; maintain run-books, interface catalogues and technical documentation; and supply integration metadata and lineage to the Master Data & Metadata Unit.
- Contribute to DMP/lakehouse migration, ODI and legacy interface rationalization and MDM synchronization (inbound CDC, outbound golden-record publication), and take over knowledge from vendors and implementation partners.
Qualifications and experience
- Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Information Systems, or a related field.
- Professional certifications such as Oracle (ODI/GoldenGate/Database), Confluent Kafka, Informatica, Databricks/Cloudera or cloud data engineering certifications, Certified Data Management Professional (CDMP), or DCAM certification are an added advantage.
- Minimum of 3 years of experience in data integration, data engineering, ETL/ELT development, API integration, or enterprise data management within a complex technology environment.
- Knowledge of T24 core banking data structures, Bank of Tanzania regulatory reporting requirements (including RTSIS), Personal Data Protection Act 2022, and ITIL incident, problem, and change management practices is an added advantage.
- Strong knowledge of DAMA-DMBOK2 Data Integration & Interoperability, Data Architecture, Data Modelling, Data Quality, Data Security, Metadata Management, and EDM Council DCAM data and technology architecture capabilities.
- Knowledge of integration architectures and patterns, including batch ETL/ELT, CDC/replication, event streaming, publish-subscribe, APIs/REST, file transfer, hub-and-spoke and point-to-point designs, as well as data warehouse, lakehouse, and dimensional modelling concepts.
- Advanced SQL and PL/SQL development and performance tuning on Oracle (Exadata) and SQL Server.
- Hands-on experience with ETL/ELT, replication and streaming technologies such as Oracle Data Integrator, Oracle GoldenGate, Informatica, SSIS, Apache Kafka and NiFi.
- Proficiency in Python, Shell scripting, and data processing automation tools; experience with Spark/PySpark is an added advantage.
- Experience with API design and integration (REST, JSON/XML), job scheduling/orchestration, version control (Git), and CI/CD practices for data pipelines.
- Strong analytical, troubleshooting, documentation, and communication skills, with the ability to explain technical concepts and issues to business and management stakeholders.
10Specialist Data Analyst
DepartmentData Management Office
LocationHead Office, Dar es Salaam
Reports toManager Enterprise Analytics & Business Intelligence
Openings / Terms1 · Permanent
Job purpose
The role is responsible to turn governed Bank data into accurate, timely and decision-ready insight. The role frames analytical questions with business stakeholders, performs descriptive and diagnostic analysis, and develops reports and dashboards using certified datasets and approved KPI definitions. The role improves decision-making, reduces conflicting numbers and unnecessary extracts, and promotes controlled self-service analytics.
Principal responsibilities
- Partner with business units (e.g., Retail, Corporate, Cards, Agency, Digital, Credit, Finance) to define analytical questions, perform descriptive and diagnostic analysis, and deliver insight with clear recommendations and quantified business impact.
- Design, build and maintain reports and dashboards (primarily Power BI) on certified datasets and the governed semantic layer, applying the Bank’s visual, performance and row-level security standards.
- Define and document KPIs, calculation rules and filters with Data Owners, register them in the business glossary through the Metadata function, and ensure each KPI is calculated once and reused across reports.
- Gather and document reporting and analysis requirements, acceptance criteria and data needs; work with Data Modelers and Integration Specialists where new data or models are required.
- Validate outputs against source systems, GL and control totals before release; investigate breaks and anomalies and raise data quality issues to the Data Governance & Quality Unit with evidence.
- Deliver ad-hoc analysis and management packs for senior leadership and committees within agreed turnaround times, with clear, concise narrative.
- Support customer segmentation, product and channel performance, portfolio and cross-sell analysis, and benefits tracking for strategic initiatives, using MDM golden records once available.
- Identify duplicate, unused or conflicting reports for consolidation; promote certified self-service datasets and train business users to use them correctly.
- Handle data according to classification, least-privilege access and the Personal Data Protection Act 2022; apply masking/aggregation where personal data is not required and maintain documentation and version control for all reports.
- Prepare analytical datasets and feature inputs for the Data Science team and apply basic statistical techniques (trend, cohort, variance, forecasting) where appropriate.
Qualifications and experience
- Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Information Systems, Finance, Data Science, or a related field.
- Professional certification in data analytics, business intelligence, or data management, such as Microsoft Certified: Power BI Data Analyst Associate (PL-300), Certified Data Management Professional (CDMP), or other recognized analytics and statistics certifications, will be an added advantage.
- Minimum of 3 years of experience in Data Analytics, Business Intelligence, Management Information Systems (MIS), Reporting, Data Warehousing, Data Governance, or a related data management field.
- Advanced SQL proficiency on Oracle and SQL Server for data extraction, analysis, validation, and reporting, with expertise in Power BI development, including data modelling, DAX, Power Query, row-level security, performance tuning, and SSAS Tabular.
- Proficiency in Python or R for data analysis, statistical modelling, visualisation, and advanced Microsoft Excel.
- Strong data storytelling skills with the ability to translate complex analyses into clear insights, findings, and recommendations for executive decision-making.
- Knowledge of DAMA-DMBOK2 Data Warehousing & Business Intelligence, with working knowledge of Data Quality, Metadata Management, Data Modelling, Data Security, and EDM Council DCAM analytics management and data quality capabilities.
- Strong understanding of dimensional modelling, semantic layers, data warehouse concepts, descriptive and inferential statistics, and the use of certified data and governed KPI definitions.
- Knowledge of banking products, financial statements, and key banking KPIs, including CASA growth, loan-to-deposit ratio, NPL ratio, cost-to-income ratio, customer activity, and channel performance metrics.
- Knowledge of T24 data structures, Bank of Tanzania regulatory and management reporting requirements, the Personal Data Protection Act, 2022, and Agile delivery methodologies for analytics.
- Design, build, maintain, and optimize reports and dashboards using certified datasets and governed semantic layers, applying approved performance, visualisation, documentation, access, and version control standards.
- Develop and document KPI definitions, calculation rules, filters, analytical requirements, acceptance criteria, data needs, and dependencies with Data Owners and business stakeholders, and implement approved definitions through reusable governed logic.
- Validate analytical outputs and datasets against authorised sources, control totals, and approved business rules, document evidence, prepare quality-assured analytical datasets for Data Science use cases, and escalate material discrepancies to the appropriate owner.
- Analyse customer, product, channel, and portfolio performance using governed data, including approved MDM golden records, and conduct basic statistical, trend, cohort, and variance analysis to support business decision-making.
How to Apply
Interested and qualified candidates should apply online through the official CRDB Bank careers portal before the deadline of the position they are applying for. Only shortlisted candidates will be contacted.
CRDB Bank does not charge any fees
CRDB Bank does not charge any fees for the application or recruitment process. Ignore any request for payment, because it does not represent the bank’s practices. BIGJOBSPOT never asks for money either.