AI Enablement Analyst at Nedbank

Job Purpose

• The AI Enablement Analyst will support the embedding of Artificial Intelligence into Client Operations and parts of HR, Marketing and Strategy (“the Business”) as part of CIB’s strategic AI journey.
• The role contributes to all three CIB AI streams—Individual Enablement, AI-Enabled CIB Workflows, and Group-Wide Transformation—by supporting AI literacy and adoption, assisting with the re-engineering and optimisation of middle-office processes, and contributing to group-wide AI execution, value tracking and programme visibility.
• The role sits within the middle office, supporting the Business deal execution and lifecycle management.

Job Responsibilities

AI enablement, adoption & superuser community support

(Stream 1 – individual enablement)

• Support the Business’s AI enablement initiatives by assisting with the uplift of AI literacy and practical AI usage across middle-office teams.

Coordinate and support the Business AI superuser community by:

• Assisting with the organisation of enablement sessions, forums and knowledge-sharing activities
• Supporting superusers with documentation, templates and example use cases
• Acting as an initial point of support for colleagues on basic AI usage and queries

Assist AI superusers and broader teams with:

• Prompt development
• Entry-level agent building and testing
• Understanding responsible AI usage and approved AI tool capabilities
• Support the embedding of AI usage into everyday workflows through communication, training support and change activities.
• Work closely with the Business leadership, AI champions and senior enablement resources to support adoption initiatives.

Process re-engineering & AI solution support

(Stream 2 – AI-enabled CIB workflows)

Assist in identifying and documenting opportunities within the Business where AI, automation or digital tools can:

• Reduce manual effort
• Improve turnaround times
• Enhance output quality
• Reduce operational and compliance risk
• Support diagnostics, ideation and co-creation sessions by preparing materials, capturing insights and documenting potential AI use cases.

Contribute to hands-on solution support by:

• Assisting with agent configuration and testing
• Supporting rapid prototyping activities
• Capturing user feedback and documenting solution concepts
• Work under guidance with technology and enablement partners to support solution development and refinement.
• Assist with documenting simplified, standardised and optimised middle-office workflows.

Group-wide transformation support

(Stream 3 – Group-wide transformation)

Support the Business’ alignment to group-wide AI strategic intent and prioritisation by:

• Assisting with the documentation and consolidation of the Business’ AI initiatives, use cases and priorities
• Supporting inputs into CIB and Group-level AI planning and prioritisation activities

Contribute to execution and governance activities by:

• Preparing and maintaining documentation required for AI governance and oversight forums
• Supporting adherence to agreed enterprise AI standards and controls

Assist with value realisation and tracking by:

• Collecting and consolidating metrics related to efficiency, quality, risk reduction and employee experience
• Supporting reporting into CIB and Group AI value tracking mechanisms

Support end-to-end ai programme visibility for client operations by:

• Maintaining accurate records of AI use cases, pilots and scaled solutions
• Assisting with preparation of updates, insights and playbacks for management and governance structures

Key deliverables

• Ongoing support to a functioning AI superuser community.
• Documented AI-enabled and re-engineered middle-office process improvements.
• Contributions to AI agents and tools embedded in Business workflows.
• Accurate tracking and reporting of AI adoption and realised value.
• Improved foundational understanding of AI capabilities, tools and responsible usage across the Business .
• Enhanced individual efficiency of Business staff through supported use of AI tools and agents.

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• Bachelor’s degree in technology, such as:
• Computer science / BSc Information Technology / Software engineering / Data science / related technical discipline

Essential Certifications

Preferred Certifications

• Blue Prism Associate Developer Certificate (Essential); Blue Prism Developer Certificate and Blue Prism Solution Designer Certificate  (Preferred)

Minimum Experience Level

• Working knowledge of AI tools, particularly generative AI, agent-based solutions and productivity platforms (e.g. M365 Copilot or similar). Ability to develop fit for purpose agents.
• Exposure to process improvement, automation, digital transformation or continuous improvement concepts.
• Ability to learn and contribute to AI agents, workflows or automated solutions with guidance.

Advantageous

• Exposure to (domain knowledge of) financial services, PF, IB, TS, banking middle-office or regulated environments.
• Exposure to CIB Front office, i.e. Property Finance, Investment Banking, Transactional services or deal-related operations.
• Participation in communities of practice, innovation forums or digital enablement initiatives.

Technical / Professional Knowledge

• Banking knowledge
• Banking procedures
• Business principles
• Business terms and definitions
• Data analysis
• Governance, Risk and Controls
• Microsoft Office
• Relevant Software and system Knowledge
• Business writing skills
• Cluster Specific Operational Knowledge

Behavioural Competencies

• Innovation
• Managing Work
• Quality Orientation
• Continuous Improvement
• Collaborating
• Positive Approach
• Technology Savvy
• Decision Making