Senior Business System Analyst

Sabenza IT & Recruitment; Centurion; Presencial; ZAR 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Sabenza IT & Recruitment seeks a Senior Business Systems Analyst who can turn messy processes into automated, compliant solutions. You’ll identify AI opportunities, translate business needs into concrete system requirements, and manage risk and regulatory considerations from concept through implementation.

You’ll collaborate with architects, developers and data scientists to deliver scalable, production-ready solutions, leading workshops, benefits tracking and governance.

Formación

• Bachelor’s degree in CS/IT/Business or a related field.
• 8+ years in Business Systems Analysis across financial services is preferred.
• Strong experience with risk, CDD, AML, FATCA and regulatory compliance.
• Proven track record leading complex system analysis and transformations.
• Hands-on with digital transformation, automation or AI initiatives (RPA/ML).
• Solid skills in process modelling, requirements management and Agile/Scrum.

Responsabilidades

• Analyse complex business processes, data flows and systems to identify inefficiencies and AI opportunities.
• Run AI use-case workshops and translate ideas into concrete requirements.
• Design and implement solutions including document processing, analytics and RPA.
• Collaborate with enterprise architects, developers and data scientists to ensure production readiness.
• Lead projects from concept through implementation, including business cases and risk management.
• Act as liaison between business stakeholders, IT, data teams and AI specialists.
• Ensure data governance, privacy, security, ethics and regulatory compliance.
• Document maps, requirements and governance controls and report progress to senior stakeholders.

Descripción del empleo

Theone who turns “we should automate that” into something that actually works.

We’relooking for a Senior Business Systems Analyst who can look at a messy process,see the AI opportunity underneath it, and design a solution that improvesefficiency without creating three new problems (or a regulatory one). If you’vespent years translating what the business says it wants into systems thatactually deliver – while navigating risk, compliance and regulatoryrequirements – this is the role..

What you’ll actually do:

• Analysecomplex business processes, data flows and systems to find inefficiencies,risks and genuine automation or AI opportunities.
• RunAI use-case workshops and turn good ideas into clear business, system and AIrequirements.
• Designand help implement solutions that include intelligent document processing,predictive analytics, RPA, conversational AI and generative AI-assistedprocesses.
• Workwith enterprise architects, developers, data scientists and AI specialists sothe solution doesn’t fall apart in production.
• Leador heavily coordinate systems and AI-enabled projects from concept throughimplementation, including business cases, benefits tracking and riskmanagement.
• Actas the main liaison between business stakeholders, IT, data teams and AIspecialists. Facilitate workshops, support change and adoption, and keepeveryone pointed in the same direction.
• Ensuredata governance, privacy, security, ethics and regulatory requirements arebuilt in, not bolted on later.
• Documenteverything properly (process maps, requirements, AI use cases, modelperformance and governance controls) and present clear progress and impactreports to senior stakeholders.

Requirements

What you need:

• Bachelor’sdegree in Computer Science, IT, Business Administration, Data Science,Engineering or a related field. Relevant certifications (CBAP, PMI-PBA, Agile,AI or data analytics) are a plus.
• 8+years as a Business Systems Analyst, with solid experience in financialservices, investments or wealth management.
• Provenexperience in Risk, CDD (Customer Due Diligence), AML (Anti-Money Laundering),FATCA and broader regulatory compliance within financial services orinvestments.
• Proventrack record leading complex system analysis and business transformationprojects.
• Hands-onexperience with digital transformation, automation, analytics or AI-relatedinitiatives (RPA, ML, generative AI or advanced analytics exposure is highlyadvantageous).
• Strongskills in process modelling, requirements management, Agile/Scrum, BPMN/UML and tools such as Visio, JIRA, Confluence, Azure DevOps, Power Platform and PowerBI.
• Abilityto influence stakeholders at all levels, manage multiple initiatives at once,and keep quality high under pressure.
• Clearunderstanding of Responsible AI principles, AI governance, ethics and riskmanagement.