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Head, Data & Analytics job at Stanbic Bank Uganda

About the Organization

Stanbic Uganda Holdings Limited (SUHL) is part of the Standard Bank Group, Africa’s largest Bank measured by footprint and assets. The company (SUHL) is comprised of 5 subsidiaries which include: Stanbic Bank Uganda Limited: - the leading commercial bank in the country, Stanbic Properties Limited: - a real-estate company , SBG Securities Uganda Limited : - an investment and brokerage firm, Stanbic Business Incubator Limited: - an enterprise development institution and FlyHub Uganda Limited: - a technologies and innovations company.

Job Description

To implement the data strategy by coordinating and facilitating data programmes to enable consistent and effective data driven business decisions. To enforce governance and compliance, ensuring alignment to the relevant Group frameworks, policies and standards, including compliance to data protection legislation.

Duties and Responsibilities

  • Assess the impact of privacy and other legislation on the data landscape and develop and drive an implementation plan that will ensure awareness and compliance.

  • Collate regulatory data requirements for area of responsibility to identify inadequacies in the existing practices to support compliance to regulatory requirements.

  • Co-ordinate and facilitate Data and Information programmes by liaising with the Country/Business Unit and relevant Data stakeholders to identify data assets or business cases that could be prioritized for data monetization and selective investment, thereby enhancing revenue.

  • Create and monitor a profit and loss statement for data activities within area of responsibility and influence data investment decisions to ensure a consistent return on investments. Enable data monetization efforts by deepening the understanding and measurement around Data Value cases and ensuring that the cases are developed and measured as per relevant SBG standards.

  • Drive the standardization of data management practices within area of responsibility in line with organisational frameworks in order to encourage and enable a uniform and consistent view of data across the organisation and support the concept of Universal Bank Data.

  • Execute the Data Operating model in area of responsibility including the data provisioning layer (DPL) and curated data in support of the single view data domains and ensure the simplification of IT data and information architecture.

  • Lead the assurance review process for area of responsibility to verify the degree of compliance policies and standards, and coordinate remediation programmes as required.

  • Represent the Country/Business Unit at Country or Regional Data Committees, forums and priority planning events leverage and socialize the nuanced data requirements for area of responsibility. Influence priority and consideration of these nuances in policy, data platform capability and practice design solutions, while ensuring alignment to policies, standards and governance mandate.

Qualification, Experiences and Competencies

  • Degree: A bachelor’s degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related discipline is usually required.

  • Advanced Degree: A master’s or Ph.D. in Data Science, Analytics, Business Administration, or a related field is often preferred, especially for positions in large or highly technical organizations.

  • Experience:

  • Relevant Experience: A minimum of 7-10 years of experience in data analytics, data science, business intelligence, or a related field, with a proven track record of managing large-scale data projects.

  • Leadership Experience: Several years of experience in a leadership or management role, demonstrating the ability to lead and develop teams, manage budgets, and drive strategic initiatives.

  • Industry Experience: Experience in the industry relevant to the organization (e.g., finance, healthcare, retail) may be required, as industry-specific knowledge can be critical for understanding data needs and challenges.

How to Apply

APPLICATION FOR THIS POSITION MUST BE DONE ONLINE:
Are you interested? Click the "APPLY" button below to submit your application.

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