Senior Business Systems Analyst

Indsafri India Private Limited; South Africa; Hybrid; ZAR 900,000 - 1,200,000; Full time

Job summary

Indsafri India Private Limited seeks a Senior Business Systems Analyst to drive AI-enabled transformation in financial services. You will translate business needs into AI, data, and automation requirements, collaborate with IT, data scientists, and vendors, and ensure governance and risk controls throughout delivery.

Ideal candidates have 8+ years in business systems analysis, with BPMN/UML, Azure DevOps, Power BI, and RPA/Generative AI experience.

Qualifications

• Bachelor's degree or higher in CS/IT/Business Admin or related field.
• 8+ years in Business Systems Analysis or related experience in financial services.

Responsibilities

• Analyze business processes, data flows, and AI opportunities to identify improvements.
• Define requirements for AI-enabled automation and analytics initiatives.
• Lead and coordinate cross-functional teams across IT, data science, and vendors.
• Ensure governance, regulatory compliance, and risk management in solutions.
• Develop documentation and validation of AI models and outputs.

Skills

Azure DevOps

Power BI

Power Platform

JIRA

Confluence

BPMN

UML

SCRUM

NLP

RPA

Generative AI

Data Analytics

Data Governance

Education

Bachelor's Degree in Computer Science/IT/Business Administration

Tools

Azure DevOps

JIRA

Confluence

Power Platform

Power BI

Microsoft Visio

Job description

As a Senior Business System Analyst, you will be responsible for analyzing complex business processes, designing and implementing innovative system solutions, and ensuring alignment with the company's strategic goals. The role will leverage Artificial Intelligence (AI), automation, advanced analytics, and emerging technologies to improve operational efficiency, enhance customer experiences, and support data-driven decision-making. You will work closely with stakeholders across the organization to identify opportunities for business transformation, define requirements, and deliver high-quality technology solutions that create measurable business value.

Key Responsibilities

Business Process Analysis & AI Enablement

• Conduct comprehensive analysis of business processes, systems, and data flows to identify inefficiencies, risks, automation opportunities, and areas for AI-driven enhancement.
• Collaborate with business units to understand strategic and operational needs and translate them into actionable business, system, data, and AI requirements.
• Assess business processes for suitability for intelligent automation, machine learning, predictive analytics, natural language processing (NLP), and generative AI solutions.
• Facilitate AI use case discovery workshops to identify opportunities that improve operational efficiency, customer engagement, investment decision support, and risk management.
• Develop and maintain comprehensive documentation for business processes, system requirements, AI requirements, and functional specifications.

System Design, AI Solutions & Implementation

• Design and develop business system solutions that align with organizational objectives and emerging technology strategies.
• Partner with enterprise architects, developers, data scientists, and AI specialists to integrate AI-powered capabilities into business applications and workflows.
• Evaluate AI platforms, intelligent automation solutions, and digital tools to determine their suitability for business requirements.
• Support the implementation of AI-enabled solutions such as:
• Robotic Process Automation (RPA)
• Conversational AI/chatbots
• Generative AI-assisted business processes
• Work closely with IT teams to ensure successful implementation of system enhancements, upgrades, and new features.
• Review and participate in testing activities, including functional, integration, user acceptance testing (UAT), and validation of AI model outputs to ensure accuracy, reliability, fairness, and compliance.
• Collaborate with data teams to define data requirements and ensure high-quality data is available for reporting, analytics, and AI initiatives.
• Analyze business data to identify trends, patterns, and insights that support strategic decision-making.
• Support the development of dashboards, reporting solutions, and AI-driven insights to improve business performance.
• Ensure data governance, privacy, security, and regulatory requirements are considered throughout solution design and implementation.

Project Management & Coordination

• Lead and manage business systems and AI-enabled transformation projects from concept through implementation.
• Coordinate multidisciplinary teams including business stakeholders, IT teams, data analysts, data scientists, vendors, and technology partners.
• Develop project plans, business cases, and benefits realization frameworks for technology and AI initiatives.
• Monitor project progress, manage risks, dependencies, and issues that may impact successful delivery.
• Ensure AI projects meet ethical, regulatory, governance, and risk management standards.

Stakeholder Engagement & Change Enablement

• Serve as the primary liaison between business stakeholders, IT teams, data teams, and AI specialists.
• Facilitate workshops, design sessions, and stakeholder engagements to gather requirements and align solutions with business priorities.
• Advise business leaders on AI opportunities, system capabilities, technology risks, and industry best practices.
• Support change management, user adoption, and training initiatives for new systems and AI-driven capabilities.
• Promote AI literacy and responsible AI practices across business teams.
• Identify opportunities to improve business processes through emerging technologies, AI, automation, and analytics.
• Research industry trends, financial services innovations, and regulatory developments related to AI and digital transformation.
• Recommend and implement best practices for business analysis, process optimization, AI governance, and technology adoption.
• Conduct post-implementation reviews to assess system performance, AI solution effectiveness, user adoption, and business outcomes.
• Contribute to the development of the company's AI and digital transformation roadmap.

Documentation & Reporting

• Create and maintain detailed documentation for system designs, process maps, AI use cases, business requirements, and user guides.
• Develop business cases and value assessments for AI and automation initiatives.
• Prepare and present reports on project progress, system performance, AI solution effectiveness, and business impact to senior leadership.
• Document AI governance controls, model performance measures, risks, and compliance requirements where applicable.

Business Analysis

• Advanced analytical and problem-solving skills.
• Strong understanding of business processes, systems analysis, and requirements management.
• Expertise in business process modeling and optimization methodologies.

AI & Digital Capabilities

• Ability to identify, evaluate, and define AI use cases and business value opportunities.
• Knowledge of Responsible AI principles, AI governance, ethics, privacy, and risk management.

Technical Skills

• Proficiency with business analysis and collaboration tools such as Microsoft Visio, JIRA, Confluence, Azure DevOps, and Microsoft Power Platform.
• Familiarity with data visualization and reporting tools such as Power BI.
• Knowledge of Agile, Scrum, BPMN, UML, and system design methodologies.
• Experience working with cloud platforms and AI services (AWS, Microsoft Copilot, or equivalent) will be advantageous.

Leadership & Stakeholder Management

• Excellent communication, facilitation, and presentation skills.
• Ability to influence decision-making and engage stakeholders at all organizational levels.
• Strong project leadership and vendor management capabilities.
• Ability to manage multiple initiatives simultaneously while maintaining a high standard of quality and delivery.

Experience, knowledge and qualifications

• Bachelor's Degree in Computer Science, Information Technology, Business Administration, Data Science, Engineering, or a related field.
• Advanced degree or relevant certifications will be advantageous, including:
• CBAP (Certified Business Analysis Professional)
• Agile Certifications
• AI or Data Analytics Certifications
• 8+ years' experience as a Business System Analyst, with a strong background in financial services, investments, or wealth management.
• Proven experience leading complex system analysis and business transformation projects.
• Experience working on digital transformation, automation, analytics, or AI-related initiatives.
• Experience with enterprise applications, data integration, and reporting solutions.
• Exposure to AI, Machine Learning, Robotic Process Automation (RPA), Generative AI, or advanced analytics solutions will be highly advantageous.
• Must have experience in Risk, CDD, AML, and Fatca.
• Must have regulatory experience.

Skills

Azure DevOps Machine Learning AWS Cloud Platforms JIRA problem-solving skills analytical skills Power BI Data Science Confluence communication SCRUM Automation Business Analysis BPMN Natural Language Processing (NLP) Risk management Data Analysis Generative AI UML Facilitation Systems Analysis Digital Transformation Robotic Process Automation (RPA) Microsoft Visio Business Process Modeling Data Governance analytics predictive analytics information technology financial services data integration enterprise applications system design microsoft power platform requirements management project leadership agile wealth management vendor management AI Governance Computer Science Responsible AI principles Presentation Engineering Investments Microsoft Copilot Privacy Reporting solutions Ethics AI Use Cases Optimization Methodologies Business Value Opportunities AI Services