Manager: Automation and Digital Enablement

absa; Johannesburg; Presencial; ZAR 900 000 - 1 300 000; Tempo integral

Resumo da oferta

Absa in Johannesburg seeks an AI Automation Solution Lead to design and embed automation across Business Banking Risk, reducing manual work and unlocking value from data sources. You will drive AI adoption to enhance risk reporting, controls and decision-making.

The role collaborates with risk, compliance, data and technology teams to implement scalable, future-ready automation and governance across essential processes.

Qualificações

• Develop and deliver changes for optimisation and automation of risk management processes to elevate value, compliance and operational efficiency.
• Collaborate with data and analytics offices to keep abreast of data initiatives and identify value for BB Risk processes.

Responsabilidades

• Develop and deliver automation of risk management processes such as MI production, data extraction and validation.
• Lead design and performance of digital controls to ensure accuracy, scalability and consistency.
• Embed golden-source data to reduce manual intervention and uplift data quality and standardisation of risk information.
• Champion Generative AI, automation and predictive analytics to improve performance and agility.
• Oversee AI-, rules-engine- and robotics-driven controls aligning with risk and information security requirements.
• Translate complex technology into business value, improving engagement and efficiency.

Descrição da oferta de emprego

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.

Belonging at Absa

Absa is committed to creating an inclusive workplace where everyone can thrive. We are an equal opportunity employer and welcome applications from suitably qualified individuals from diverse backgrounds. In support of our Diversity, Equity, Inclusion and Belonging (DEIB) commitments and Employment Equity objectives, preference may be given to candidates from underrepresented designated groups, including persons with disabilities. We encourage applicants who may require reasonable accommodation during the recruitment process to let us know so that appropriate support can be provided.

Job Summary

The incumbent is responsible for identifying, designing, building and embedding automation solutions that reduce manual risk processes, improve the quality and timeliness of management information, and create measurable business value for Business Banking Risk.

The role translates operational pain points into scalable digital solutions through to unlocking value from new sources of data, better leveraging existing data, and automating workflows and reporting tools.

In addition, the incumbent will be expected to identify opportunities to leverage AI and lead the responsible adoption and embedment within the Business Banking Risk team's processes.

Job Description

Key focus areas

Develop and deliver required changes for the optimisation and automation of risk management processes to elevate value, compliance and operational efficiency. For example, the automation of: Recurring MI production and distribution;
Data extraction, cleansing, reconciliation and validation;
Risk reporting workflows;
Control monitoring and exception reporting;
Manual capturing, including manual spreadsheets and offline trackers; and
Dashboards and self-service reporting.

Collaboration with the Group and Business Banking Data and Analytics Offices to keep abreast of new data and data-marts initiatives and identify areas where it can add value into BB Risk processes and operations.

Serve as a strategic enabler of innovation, positioning teams as future-fit, and client-centric in the African financial services landscape. With outcomes of efforts including: Reduction in manual processing time;
Optimised workflows;
Fewer data quality errors or reconciliations;
Increased use of golden-source data;
Reduced key-person dependencies;
Improved auditability and control evidence;
Adoption of automated dashboards or workflows.

Collaborate with risk, compliance, data, and technology teams to embed sustainable, future-ready automation solutions.

Lead the design and performance of digital controls to ensure accuracy, scalability, and consistency across processes.

Embed the use of golden-source data to reduce manual intervention and uplift the quality, reliability, and standardisation of risk management information.

Serve as an AI Automation Solution Lead: Champion and drive the adoption of Generative AI, automation, and predictive analytics to elevate performance and agility.

Embed and oversee AI-, rules-engine- and robotics-driven controls that embed proactive risk mitigation into core operational processes.

Translate complex technology into business value, improving conversion, engagement, and efficiency.

Ensure automated solutions are appropriately documented, controlled, tested and aligned to risk data aggregation, reporting, data quality, privacy, model risk and information security requirements.

Strategy Formulation and Execution

Translate strategic objectives and business needs into operational plans with clear deliverables, timelines, and performance measures.

Continuously optimise automation frameworks to improve efficiency, agility, and measurable impact.

Monitor progress, identify risks, and implement corrective actions to ensure delivery.

Leverage data and insights to refine processes, inform service design and delivery improvements.

Actively pursue opportunities to harness untapped data in a strategic manner.

Sustainable Growth

Implement scalable automation solutions that support long-term efficiency, cost reduction, and commercial growth across Business Banking.

Support investment decisions through analysis of operational impact and value creation.

Innovation and Change

Identify opportunities for innovation and continuous improvement.

Lead change initiatives, ensuring readiness, engagement, and adoption.

Support the implementation of new technologies, processes, and practices.

AI solutioning to drive efficiency and replace manual tasks, including the driving of its roll-out.

Thought leadership in identifying opportunities for change.

Leadership And Capability Building

Influence sta