Manager: MIS & Reporting

The MIS & Reporting Manager is accountable for leading Postbank’s MIS, reporting, and operational analytics capability across assigned enterprise reporting domains. The role translates strategic, regulatory, and operational priorities into an integrated MIS and reporting portfolio, defines reporting standards and governance controls, manages a team of eight reporting and analytical resources, and ensures the delivery of accurate, timely, auditable, and decision-ready information to executive, regulatory, operational, and business stakeholders.

Job Responsibilities

MIS and Reporting Strategy, Portfolio, and Standards

• Translate Postbank strategic, operational, and regulatory priorities into an integrated MIS and reporting roadmap.
• Own the reporting delivery portfolio across recurring, executive, operational, regulatory, and ad hoc reporting streams.
• Define and enforce standards for report design, data definitions, metric ownership, refresh frequency, reconciliation, evidence retention, and version control.
• Prioritise reporting requests based on risk, regulatory urgency, business value, operational dependency, resource availability, and data readiness.
• Advise the Head of Analytics and senior stakeholders on reporting gaps, risks, dependencies, trends, and decision-support requirements.

Enterprise Reporting Delivery and Stakeholder Management

• Lead the design, development, enhancement, and delivery of dashboards, scorecards, operational packs, regulatory packs, and management reports.
• Translate complex stakeholder requirements into reporting specifications, data logic, definitions, business rules, quality checks, and delivery plans.
• Coordinate reporting dependencies with BI, data engineering, automation, operations, risk, finance, compliance, and business units.
• Review and approve critical reporting outputs before submission to senior stakeholders or formal governance forums.
• Present insights, exceptions, trends, risks, and recommended actions in a clear, decision-ready format for technical and non-technical audiences.

Data Governance, Data Quality, and Auditability

• Own reporting controls for data lineage, reconciliation, completeness, accuracy, timeliness, reproducibility, and evidence retention.
• Ensure compliance with POPIA, FSCA requirements, Postbank data-governance standards, information-security rules, and internal control expectations.
• Maintain reporting catalogues, data dictionaries, metric definitions, calculation logic, report ownership matrices, and issue logs.
• Oversee the investigation and remediation of data-quality defects, reporting discrepancies, control failures, and stakeholder escalations.
• Coordinate audit, assurance, internal control, and regulatory evidence relating to MIS and reporting outputs.

People, Resource, and Performance Management

• Manage a team of eight reporting and analytical resources, including Senior Data Analysts, Data Analysts, and MIS specialists.
• Allocate work, set delivery priorities, manage deadlines, monitor workload, and ensure continuity of critical reporting processes.
• Set role expectations, conduct performance reviews, coach analytical capability, and support individual development plans.
• Participate in recruitment, onboarding, probation input, skills planning, succession planning, and team-capacity management.
• Promote a high-accountability, service-oriented, governance-compliant, and collaborative reporting culture.

Qualifications and Experience

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Statistics, Business Analytics, Finance, Commerce, or a relevant quantitative/technology field (NQF Level 7).
• Honours or Master’s degree in Data Science, Business Analytics, Information Systems, Statistics, Finance, Management, or a related field (NQF Level 8/9) (Ideal).
• 8+ years of MIS, reporting, data analytics, BI, operational analytics, regulatory reporting, or data-management experience, including ownership of complex cross-functional reporting portfolios.
• 5+ years of managerial, supervisory, technical-lead, or portfolio-lead experience guiding analysts, reporting specialists, BI developers, or delivery resources.
• Experience in the Banking Industry (Advantageous).

Skills and Attributes

• Uncompromising integrity, honesty, and professional ethics.
• Respectful and professional conduct at all times.
• Strong personal accountability and ownership.
• A commitment to excellence in every deliverable.
• High levels of resilience and perseverance when facing obstacles.
• Self-motivation and the ability to operate independently.
• Continuous learning and intellectual curiosity.
• Loyalty to team objectives and organisational success.

Phase Target Skills & Algorithms Tech Stack Mapping

• Core Data & BI Engineering: Database optimization, automated ETL pipelines, stored procedures. Tech Stack: SQL Server (SSMS, SSIS), Power Query.
• Advanced Modeling: Advanced data modeling, context filtering, row-level security, cloud deployment. Tech Stack: Power BI (DAX), Tableau.
• Statistical & Legacy Profiling: Statistical profiling, macro migration, legacy predictive validation. Tech Stack: SAS.
• Predictive AI & Automation (Upsell/Cross-sell): Binary classification, feature engineering for propensity modeling. Tech Stack: Python (scikit-learn, XGBoost), R, SQL Server.
• Lead Generation & Regression: Regression trees, ensemble learning, automated lead generation scoring engines. Tech Stack: Python, SQL Server, Power Query.
• Customer Lifetime Value & NLP: Survival analysis, lifetime value (LTV) estimation, NLP for service ticket intent. Tech Stack: Python (lifelines, HuggingFace), R, Power BI.
• Advanced Optimization & Geo-analytics: Location allocation algorithms, spatial clustering, spatial regression. Tech Stack: ArcGIS, Python (GeoPandas, PySAL).
• Constrained Optimization & Attribution: Constrained optimization, attribution modeling, marketing mix modeling (MMM). Tech Stack: Python (SciPy.optimize), R.
• Ecosystem Transformation: Bridging deep tech with executive business decisions, setting architectural patterns. Tech Stack: Full Ecosystem Transformation.

How to Apply

If you wish to apply and meet the requirements, please forward your Curriculum Vitae (CV).