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
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