New Vacancies at CRDB Bank November 2026

The is responsible to define and assure a governed, secure and scalable business intelligence architecture that enables consistent management, regulatory and analytical reporting across the Bank.

The role is accountable for the BI reference architecture, semantic architecture, certified dataset standards, BI design patterns and architectural assurance across Power BI, SSAS and the governed warehouse/Lakehouse consumption layer.

The role enables reusable reporting assets, consistent KPI implementation, controlled self-service analytics and improved report performance. It provides architectural direction and design assurance while day-to-day platform infrastructure, identity administration, licensing operations and service support remain with the responsible ICT and platform operations teams.

• Develop and maintain the enterprise BI architecture roadmap aligned with business and technology strategies. Define standards, frameworks, and best practices for BI solutions. Design scalable and secure reporting and analytics architectures. Ensure alignment between data architecture, data platforms, AI & analytics platforms, and business objectives.
• Lead the design, implementation and maintenance of BI tools and platforms. Establish semantic layers, data models, and reporting frameworks. Ensure consistent KPI definitions and metric governance across the organization. Drive self-service analytics capabilities for business users.
• Set and enforce standards for data modelling in BI, DAX, naming, visual design, performance, accessibility and documentation; review and approve new reports and datasets before production.
• Design the BI security model (workspaces, roles, row- and object-level security, sensitivity labels, service accounts) with Information Security and the DPO, applying least privilege and Personal Data Protection Act 2022 requirements.
• Own BI tenant/server configuration, capacity, gateways, licensing usage and audit logs with DICT; monitor usage, refresh failures and performance, and drive corrective action.
• Collaborate with Data Governance teams to ensure trusted and governed data is used in reports and dashboards. Define metadata, lineage, and master data requirements for BI solutions.  Ensure regulatory and compliance reporting requirements are met.
• Run the dataset and report lifecycle (request, build, certify, promote, retire) through dev/test/prod and version control; lead rationalisation of duplicate, unused and conflicting reports.
• Engage business leaders to understand reporting, dashboard, and analytics requirements. Translate business needs into technical BI solutions. Advise management on emerging BI technologies and opportunities. Act as a trusted advisor for enterprise reporting and analytics initiatives.
• Monitor and optimize BI infrastructure and report performance. Identify bottlenecks in ETL/ELT processes and reporting environments. Implement best practices for query optimization and data refresh strategies. Ensure high availability and reliability of BI services.
• Align KPI and measure definitions with the business glossary and CDEs, publish semantic models and report lineage to the catalogue through the Master Data & Metadata Unit, and surface data quality indicators in reports.
• Assess BI and analytics tools and features (including AI-assisted BI), contribute to DMP and BI platform decisions and budgets, and provide architectural oversight of vendor and project deliveries.

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Science or a related field.
• Microsoft Certified: Fabric Analytics Engineer (DP-600) or Power BI Data Analyst (PL-300); Certified Data Management Professional (CDMP); DCAM certification; TOGAF are added advantages.
• Minimum of 3 years of experience in Business Intelligence, Data Analytics, Data Warehousing, Reporting, or a related data management function.
• Sound knowledge of EDM Council DCAM capabilities, particularly Data & Technology Architecture and Analytics Management, with practical understanding of data governance, data quality, and enterprise data management frameworks.

• Strong expertise in Business Intelligence (BI) architecture and data warehousing, including dimensional modelling, semantic/tabular models, star schemas, aggregations, composite models, DirectQuery/import modes, and data warehouse/lakehouse consumption layers.
• Proven knowledge of BI security, governance, and DevOps practices, including Row-Level Security (RLS), Object-Level Security (OLS), sensitivity labeling, workspace and deployment pipelines, version control, release management, and reporting lifecycle governance.
• Good understanding of banking data, regulatory reporting, and compliance frameworks, including T24 data structures, banking KPIs, the Personal Data Protection Act, 2022, BCBS 239 principles, and ITIL best practices.
• Advanced expertise in Power BI (Service and Report Server), including data modelling, DAX, Power Query, deployment pipelines, gateways, capacity management, administration, and performance optimization.
• Strong knowledge of Microsoft BI technologies and data platforms, including SSAS (Tabular and Multidimensional), Tabular Editor, DAX Studio, Oracle, SQL Server, data warehousing, and lakehouse query engines.
• Proficiency in BI automation, monitoring, and DevOps practices using PowerShell, Python, REST APIs, version control, and performance analysis tools.
• Advanced knowledge of Business Intelligence (BI) architecture, governance, and operating models, including target architecture development, roadmap planning, platform design, semantic and consumption layers, self-service BI frameworks, and enterprise reporting standards.
• Strong understanding of BI development standards and performance optimization, including DAX, data modelling, visual design, accessibility, documentation, aggregations, refresh strategies, query optimization, and performance tuning across enterprise BI solutions.
• Experience in BI security, compliance, and lifecycle governance, including workspace management, Row-Level Security (RLS), Object-Level Security (OLS), sensitivity labels, service identities, development-to-production release management, version control, and report certification processes.
• Sound knowledge of BI platform architecture and operational requirements, including capacity planning, availability, recoverability, gateways, monitoring, auditing, and collaboration with platform engineers, database administrators, and ICT operations teams.

The role is responsible for establishing, leading, and continuously improving CRDB Bank’s enterprise Master Data Management (MDM), Reference Data Management, Metadata Management, Data Catalog, and Data Lineage capabilities.

The role owns the strategy, operating model, standards, service delivery, and functional roadmap for these capabilities, ensuring alignment with the Bank’s Data Strategy, Data Governance Framework, and Data Management  initiatives under the direction of the Senior Manager, Data Management & Governance.

The role enables trusted and authoritative master data, standardized business definitions, discoverable data assets, and end-to-end data traceability across the enterprise. The position works closely with Domain Data Owners, Data Stewards, ICT teams, Risk, Compliance, Audit, and business stakeholders to ensure that critical data assets are effectively governed, understood, and leveraged to support operational excellence, regulatory compliance, analytics, and AI-driven decision making.

• Own the Master Data, Reference Data, Metadata and Lineage strategy and multi-year roadmap implementation, aligned to the data management maturity implementation roadmap and Bank Data Strategy. Establish annual objectives, KPIs, budgets and balance scorecard (BSC) targets for the unit. Drive adoption of enterprise data management best practices aligned to DAMA framework.
• Lead the implementation and operation of the enterprise Master Data Management processes and platforms. Ensure governed creation, maintenance, matching, survivorship, hierarchy management and synchronization of master data across approved domains. Establish controls for reference data creation, stewardship, distribution and lifecycle management.
• Establish and run the enterprise metadata capability: metadata standards, the business glossary, data dictionaries, critical data element (CDE) definitions and classification tags, and an enterprise data catalogue that is current, secure and widely used.
• Ensure end-to-end lineage for CDEs and regulatory reports is built, validated and recertified, and that impact analysis is provided for changes before go-live.
• Develop and maintain MDM, reference data, metadata and lineage standards and procedures within the Data Governance Framework; embed them into SDLC, procurement and change management; and maintain audit trails and control evidence.
• Operationalise master data stewardship with Domain Data Owners, Data Stewards and System Custodians: decision rights, exception queues, escalation paths and the MDM decision rights matrix; act as an escalation point for cross-domain data disputes.
• Act as business and functional owner for the MDM hub and catalogue/lineage platforms; lead requirements, vendor evaluation, design authority, UAT and cutover; manage vendor performance and secure knowledge transfer to in-house staff.
• Ensure master data and metadata support Bank of Tanzania KYC/AML and reporting requirements, the Personal Data Protection Act 2022 (with the DPO) and BCBS 239 good practice; own unit risks and respond to audit and regulatory findings within agreed timelines.
• Define and monitor KPIs for master data, metadata and lineage management. Report regularly to the Senior Manager, Data Management & Governance, Data Governance Council and relevant steering committees.
• Lead, coach and develop the unit’s specialists; set objectives, review performance, build succession and reduce vendor dependency; prepare and manage the unit’s operating and licence budget.

• Bachelor’s degree in Computer Science, Information Systems, Information Management, Data Science, Statistics or a related field; a Master’s degree in a relevant field is an added advantage.
• Certified Data Management Professional (CDMP, Practitioner or Master level), DCAM certification, MDM or data catalogue vendor certification, and a project or programme management certification (e.g., PRINCE2, PMP) are added advantages.
• Minimum of 5 years of experience in Data Management, Master Data Management (MDM), Data Governance, Data Quality, Metadata Management, Data Architecture, Data Integration, Data Analytics, or a related field.
• DAMA-DMBOK2 Reference & Master Data and Metadata Management, with strong working knowledge of Data Governance, Data Quality, Data Architecture, Data Integration and Data Security; EDM Council DCAM components and scoring, and how MDM, metadata and lineage capabilities are evidenced in maturity assessments.
• MDM architecture styles (registry, consolidation, coexistence, centralised), entity resolution, survivorship, hierarchy management, reference data, business glossary, catalogue and lineage concepts.
• Banking master data domains (customer/KYC, related parties, product, account, location); Bank of Tanzania regulatory reporting and KYC/AML requirements; Personal Data Protection Act 2022; BCBS 239 principles.
• T24 core banking data structures; ISO 8000, ISO/IEC 11179 and ISO reference data standards; data warehouse and lakehouse architectures; vendor and contract management.
• Leadership of specialist teams, including coaching, performance management and capability building; ability to turn strategy into a phased roadmap and deliver it through projects, vendors and BAU operations.
• Hands-on understanding of MDM and catalogue/lineage platforms (e.g., Informatica, Ataccama, Reltio, Semarchy, Microsoft Purview, Collibra) sufficient to act as design authority; working SQL and data analysis skills to challenge results and validate evidence.
• Strong stakeholder management and influence with business heads, DICT, Compliance and vendors, without relying on direct authority; clear executive communication: concise papers, dashboards and recommendations for COO, Head of Data and committee level.

CRDB Bank is dedicated to upholding Sustainability and ESG practices and encourage applicants who share this commitment. The Bank also promotes an inclusive workplace, hence applications from women and individual with disabilities are encouraged.

It is important to note that CRDB Bank does not charge any fees for the application or recruitment process, and any requests for payment should be disregarded as they do not represent the bank’s practices.

Only Shortlisted Candidates will be Contacted.