VdE | Chefe de Gerenciamento de Dados | ABSA
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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
Head of Data management directs and oversees the design, development and execution of end-to-end Data management strategy for the bank. Responsible for maintaining, management and monitoring of systems such as Datawarehouse, Data stores and other business intelligence and visualization platform to ensure they meet organizational and regulatory requirement.
Job Description
- Building a good understanding of each of the products and support areas within Everyday Banking, and the relationships to other businesses within RBB, CIB and Absa Group as a whole.
- Partnering with the products and RBB/CIB to ensure that the “finger is always on the pulse”.
- Doing market research and measuring how congruent the business is to market trends.
- Proactively engaging the products regarding plans and the strategic alignment to the Everyday Banking cluster. Critically analyzing the content from each engagement.
- Preparing the key stakeholders for all planning cycles in advance and ensuring adequate engagement with the relevant finance and product teams.
- Provide guidelines in line with RBB/CIB, together with an interpretation thereof to support the forecasts and budgets for the products (STP, RAF's and MTP's).
- Preparing in-year outlooks or rolling forecasts for each of the products within the cluster. Provide regular reporting of the rolling forecasts to enable management to take corrective actions.
- Ensuring appropriate, quality, and timeous delivery of accurate financial and non-financial management information to support business decisions.
- Creating high-quality reports to articulate the narrative of the budgets and forecasts in relation to the business strategy and objectives.
- Prepare the key themes, presentations and reviews and assist with detailed content when required.
- Providing the insights and analysis to facilitate the assessment of the product plans against the wider business strategy.
- Strengthening and simplifying the management information infrastructure.
- Driving continuous process efficiency and financial rigour.
- Coach, inspire, engage, mentor, and assist in developing finance and business savvy leaders.
- Play to our A-Game culture of inclusivity, diversity, entrepreneurship, and ownership.
- People Promise will be integral to our business. Focus on Finance skills development and succession.
- Engage with internal business and technical stakeholders to understand requirements and ensure objectives, priorities and key requirements are agreed and understood. Interpret data and identify issues, risks and opportunities and relay results and insights to business users
- Provide risk, governance, compliance and broader regulatory reporting as required and contribute to these processes as a data expert
- Build the infrastructure that will enable the data pipeline to be utilized to reliably communicate key business metrics and insights to business stakeholders
- Improve the quality and turnaround times of key deliverables through the automation of tasks using appropriate tools / scripting technologies and debugging new /existing scripts and code
- Leverage best practice to build and continually improve on high quality data collection, transformation, storage and retrieval. This includes keeping abreast with existing and emerging techniques and technologies in the data value-chain to identify key pivot points for the business
- Understand the technical landscape and bank-wide architecture that is connected to or dependent on the business to effectively collaborate with teams embedding solutions that impact the Assets Data value-chain
- Build towards a high-performance team environment through continually building towards mastery in a way that is aligned to the team’s purpose
- Conduct peer reviews within the broader analytics community and contribute to the building of an analytics team capability in the use of data solutions
- Proactively partner with the data architecture and data science teams in applying relevant best practice to actively shape the data landscape in the business, with the aim of improving upstream and downstream data processes to support the business
- Stay ahead of the curve on data architecture, engineering and governance trends, tools and techniques to help transition the team and the organization as required
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