Senior Business Analyst (AI)

Boardroom Appointments · Johannesburg, Gauteng

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An established organisation is seeking an experienced Senior Business Analyst AI & Intelligent Automation to join a strategic AI delivery team focused on identifying, shaping, and delivering innovative AI and automation solutions.
This is an exciting opportunity for a Business Analyst with strong analytical, technical, and stakeholder management skills who can bridge the gap between business and technology. The successful candidate will play a key role in discovering opportunities, defining requirements, supporting delivery, and ensuring AI and Intelligent Automation solutions deliver measurable business value.

Key Responsibilities Business Analysis & Use Case Discovery

Conduct discovery workshops with business stakeholders to understand business processes, pain points, and opportunities.
Analyse existing processes and identify opportunities for AI, machine learning, intelligent automation, or process improvement.
Assess solution feasibility, including data availability, process maturity, technical fit, and business readiness.
Develop business cases supported by measurable benefits and realistic assumptions.
Maintain and prioritise the pipeline of AI and automation opportunities.

Requirements Gathering & Solution Design

Produce current and future-state process models using BPMN or similar methodologies.
Document functional and non-functional requirements, user stories, and acceptance criteria.
Analyse business rules, exception scenarios, and data requirements.
Define performance, security, audit, compliance, and operational requirements.
Collaborate with engineering teams to ensure requirements are complete, accurate, and delivery-ready.

Delivery & Testing Support

Support Agile delivery teams throughout the software development lifecycle.
Participate in backlog refinement, sprint planning, demonstrations, and defect resolution.
Design and execute test scenarios, including user acceptance testing.
Support production deployments, hypercare, operational handover, and documentation.
Produce user guides, runbooks, and standard operating procedures.

Data Analysis & Governance

Analyse and validate data sources, quality, ownership, lineage, and accessibility.
Establish baseline metrics and support benefit measurement after implementation.
Ensure solutions comply with governance, privacy, security, and regulatory requirements.
Work closely with technical teams to resolve integration, platform, and data dependencies.

Stakeholder Engagement

Facilitate workshops with business and technical stakeholders.
Translate complex business requirements into practical technology solutions.
Present findings, recommendations, and solution options to stakeholders.
Mentor junior analysts and contribute to continuous improvement within the Business Analysis function.

Minimum Requirements

Bachelor's Degree in Information Systems, Engineering, Computer Science, Business, or a related field.
6+ years' experience in Business Analysis within enterprise environments.
Minimum 2 years' experience supporting AI, Machine Learning, Data, or Intelligent Automation initiatives.
Proven experience taking solutions from discovery through implementation and business adoption.
Strong Agile delivery experience within cross-functional teams.
Experience working with business stakeholders across multiple business functions.

Technical Requirements

Preferred Experience

CBAP, CCBA, or IIBA Business Analysis certification.
Lean, Six Sigma, or Process Improvement qualifications.
Experience with Robotic Process Automation RPA, Intelligent Document Processing, or Workflow Automation.
Telecommunications, financial services, or large enterprise experience.
Exposure to AI solution patterns, LLMs, and Intelligent Automation platforms.

We're Looking For Someone Who Is

An exceptional problem solver with strong analytical thinking skills.
Comfortable facilitating workshops and engaging with senior stakeholders.
Highly organised with excellent documentation and communication abilities.
Curious, inquisitive, and able to challenge assumptions constructively.
Detail orientated while maintaining a strong commercial focus.
Comfortable working in Agile environments and collaborating across multidisciplinary teams.
Passionate about using AI and automation to improve business outcomes.
Able to manage multiple priorities within a fast-paced environment.