Senior Manager: Management Information job opportunity at Absa.

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DatePosted 29 Days Ago bot
Absa Senior Manager: Management Information
Experience: Highly Experienced
Pattern: full-time
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loacation Sandton, South Africa
loacation Sandton....South Africa

Empowering Africa’s tomorrow, together…one story at a time. With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group. Job Summary The Senior Manager: Management Information is responsible for defining and executing the strategy, operating model and delivery roadmap for credit and capital management information (MI) across Business Banking Risk. This role ensures the development of high quality reporting, base analytics and insights that enable data driven decision making, while embedding strong governance, best practice standards and scalable delivery frameworks. The incumbent leads a multidisciplinary team, including business analysts, database administrators, solutions designers, visualisation specialists and data analysts to deliver accurate, timely and trusted reports, dashboards and intelligence that support both strategic and operational priorities. Job Description 1. Lead the end‑to‑end delivery of MI solutions Oversee the design, development, and maintenance of dashboards, reports, datasets and analytical deliverables tailored to the needs of Business Banking Risk. Enable cross‑functional delivery by coordinating work across diverse specialist disciplines and ensuring capacity, prioritization and timelines are effectively managed. Ensure MI outputs are intuitive, business‑relevant and aligned to stakeholder expectations.   2. Elevate MI from reporting to actionable intelligence Foster a culture of continuous improvement, innovation, and collaboration within the function. Expand the team’s focus beyond standard reporting to deliver insights that highlight trends, risks, opportunities and dependencies. Guide and empower direct and indirect reports to deepen analytical capability and influence business decisions.   3. Champion integration into business processes Ensure alignment of MI solutions with business goals, regulatory requirements, and enterprise data strategies. Support the development and adoption of tools, methodologies and behavioral change required to drive a data‑driven culture.   4. Engage stakeholders to define and deliver MI and analytics requirements Partner with stakeholders to define reporting requirements and deliver insights and analytics to enable decision making. Partner with stakeholders to define new system or reporting requirements and review existing practices for improvements. Translate challenges into structured requirements and ensure solutions are responsive, scalable and relevant. Facilitate continuous dialogue with stakeholders to refine deliverables and improve business value.   5. Drive system and reporting enhancements Identify opportunities for efficiency, automation, simplification and optimization in current processes and reporting practices. Lead the definition of new system or reporting requirements and collaborate with technology teams to ensure solution feasibility and delivery. Continuously review existing reporting frameworks to eliminate duplication, clarify ownership and enhance usefulness.   6. Ensure integrity and governance Oversee the centralized RDARR oversight capability within the team. Oversee the creation, maintenance and certification of datasets on MI and data platforms. Enforce adherence to data governance principles, ensuring data quality, accuracy, lineage, and controlled access. Promote the use of trusted, golden sources of information across all MI teams and stakeholders   7. Build a unified and scalable MI ecosystem Partner with MI teams across other verticals and enabling functions to promote a shared roadmap of technologies, methodologies and standards. Advocate for common tools, templates and delivery practices that enhance consistency, interoperability and scalability. Influence enterprise MI strategies through collaborative leadership and proactive engagement 8. Foster a culture of excellence, innovation and collaboration Create an environment that encourages continuous improvement, experimentation and the adoption of new technologies or methods. Invest in building team capabilities, supporting professional development and nurturing talent across technical and analytical disciplines. Promote collaboration, knowledge sharing and collective problem‑solving.   Required Skills Management Information (MI) Development: Expertise in designing and delivering reports, dashboards, datasets and analytical solutions. Data Analysis & Interpretation: Ability to extract insights from large, complex datasets and translate them into meaningful recommendations. Data Modelling & Architecture: Understanding of database structures, data pipelines, and integration across multiple platforms. Data Visualization: Proficiency in tools such as Power BI, Tableau, Qlik or similar. Business Intelligence Tools & Technologies: Experience with SQL, ETL tools, cloud data platforms, and enterprise MI systems. Data Governance & Quality Management: Strong grasp of data lineage, data standards, golden sources, and data integrity controls (RDARR). Process Automation: Familiarity with workflow optimization, automation tools and simplification methodologies. Microsoft proficiency: Expertise in Excel and PowerPoint. Business Acumen: Understanding of risk management, business banking and financial services context. Stakeholder Engagement: Ability to understand business needs, manage expectations and translate them into technical requirements. Communication: Strong written and verbal communication skills. Change Management: Ability to guide adoption of new systems, processes and insights across diverse teams. Strong planning, project management and prioritization capabilities. Continuous Improvement: Ability to identify and drive opportunities for process, technology and reporting optimization.   Education: Bachelor’s degree in a relevant field such as: Information Systems, Data Science / Data Analytics, Computer Science, Business Intelligence, Risk Management / Finance (if role sits within a Risk function) Advantageous certifications: Microsoft certifications (Power BI, Azure Data Fundamentals, Azure Data Engineer), SQL / Database Engineering certifications, Data Governance certifications (e.g., DAMA), Analytics certifications (e.g., SAS, Tableau), Project / Change certifications (e.g., Agile, Prince2, Scrum)   Work Experience: 8–10 years of experience in Management Information (MI), Business Intelligence (BI), Data Analytics, or related data‑focused roles. 3–5 years of leadership experience managing multidisciplinary technical teams. Education Bachelor's Degree: Information Technology Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank. Absa Bank Limited reserves the right not to make an appointment to the post as advertised

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