JOB AT Bank of Kigali : Data Management Lead : ( Deadline : 09 August 2019 )
Business Unit
Aheza Program
Job Summary
Data Management Lead is a newly created role in Bank of Kigali under the Transformation Program. This is an opportunity for a highly capable and experienced leader to help elevate and transform our capacity in the area of data management as a bank. The lead will oversee the governance and management of critical data entities at the Bank. The role of the individual will be to ensure the quality, conformity and maintenance of the Bank’s Master data/ Reference Data. The Lead will be given the opportunity to lead us through the design of data governance model and the implementation of the data warehouse.
This position offers the right candidate a visible role in a long-established and highly respected Bank in Rwanda. The lead will participate in assessing the existing universal banking to implement and map the business requirement to the model bank. Though it is a highly technical role, it is one that requires the candidate to demonstrate the ability to partner with the business and IT leadership to understand the organization’s business requirements and to build and execute a roadmap to fulfill the same. In addition, the candidate will have vast experience in Information Architecture, Data Security, Quality, Governance models, Data Warehousing and Analytics, to build upon our existing enterprise data foundation and expand corporate best practices.
Key Accountabilities
Managing master data; Overseeing the various data domains of the bank, ensuring conformity across the domains and ensuring that all business terms have an auditable lineage to their source, Managing all data entities content, Managing the security, i.e. permissions to alter the data entities
Implement master data management standards, enforce data governance procedures and ensure data integrity across multiple platforms
Lead business requirements and technical design discussions as subject matter expert
Liaising with the various Lines of Business to assist in remediating technical data inconsistencies and errors to ensure that the Master Data is always clean and up to date.
Maintaining the Master Data Solution; Designing and building new data domains as in when the need arises, Maintaining and updating the existing data domains, Profile the data at regular intervals to ensure quality
Maintaining the overall ETL solution to ensure that data delivered to the Data Warehouse is clean, complete, accurate and conformed.
Partner, negotiate and influence a broad range of stakeholders from the front to back office including operational process owners, controllers and senior managers
Collaborate across the Firm with data managers and key stakeholders to implement key business processes, policies, and strategies
Interacts with the project roles as required, to gain an understanding of the business environment, technical context, and organizational strategic direction
Other professional tasks on the orders of his superiors, in accordance with the scope of work and responsibilities
Experience
3+ years of software development experience
A minimum of 5 years of experience in Data management.
Must have hands-on experience with development solutions – Data modelling, Data Integration, Data validation, Match and Merge rules and Data stewardship
Financial Services domain experience required.
Proficiency with ETL tools (Microsoft SQL Server Integration Services Preferred)
Experience with Cloud Database technologies is desired – Azure/AWS – Data Lake architecture/implementation experience
Ability to act as a bridge between IT and Business users.
Excellent interpersonal and written communication skills; strong ability to be an active listener; ability to present complex, technical ideas in a clear and concise manner to non-technical audiences
Collaborative team player with a strong work ethic that works effectively in cross functional team environment
Qualifications
Bachelor’s Degree in Computer Science, Information Systems, Finance, or Financial Technology
Knowledge
Detailed understanding of data governance and data profiling concepts
Solid understanding of Master Data Management (MDM) architectures and business processes
Solid understanding and experience with Database technologies (SQL Server, Oracle etc.), Business Intelligence platform (Micro Strategy, tableau, PowerBI etc), ETL and scheduling tools required
Expression of Interest
Expression of Interest: Submit your CV to [email protected] by 9th August 2019
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