System Analyst Application Development And Maintenance

Systems Analyst – RPA / AI

Job Summary

The Systems Analyst is responsible in transforming business requirement/need into technical solutions. The role oversees analyzing requirements, designing system documentation, and ensuring IT solutions are aligned with the organization’s strategy, standards, and technology landscape. The role also champions artificial intelligence (AI) initiatives, ensuring responsible use, structured governance, and value-driven implementation across organization.

The role requires strong analytical skills, an understanding of systems and data processes, and the ability to guide stakeholders through technical concepts in a clear, structured manner.

Duties And Responsibilities

Requirement to Technical Translation

Conduct end-to-end process discovery, requirements gathering, and process decomposition using structured methodologies.

Review and analyze requirements provided by stakeholders and translate them into clear technical specifications

Organize and relay technical details to the Technical Architect for Solution Design.

Validate system behavior, feasibility, constraints, and alignment with existing technology standards

Proactively identify gaps, risks, and opportunities during requirement translation/interpretation.

Ensure alignment between business objectives and technical feasibility

System Analysis and Documentation

Develop system documentation including Data Flow Diagrams, Entity-Relationship Diagrams, system workflows, and integration maps.

Prepare functional and technical specifications required for solution design and development.

Maintain an updated inventory of system documents, ensuring accessibility and consistency.

Conduct impact assessments for proposed changes, enhancements, and new features.

Solution Development Support

Draft proposals for new or enhanced solutions, including options, feasibility considerations, and preliminary cost/benefit insights.

Support the Technical Architect in evaluating tools, technologies, and system approaches.

Participate in vendor discussion, capability reviews, and solution demonstrations as needed.

AI Capability and Solutions

Serve as the focal person for AI-related initiatives, guiding the organization in adopting responsible and value-adding capabilities

Explore and assess AI tools, platforms, and technologies that can improve business processes and IT operations.

Identify where AI can replace or improve system rules and exception handling.

Lead or support AI experimentation, prototyping, and proof-of-concept activities

Work with cross-functional teams to define AI requirements, test outputs, and evaluate performance

AI Governance, Compliance, and Delivery

Develop, align, and implement AI governance policies, including responsible use of guidelines, data handling standards, and model monitoring requirements.

Ensure AI Solutions adhere to organizational policies, IT controls and regulatory requirements such as Data Privacy Act.

Periodically review AI tools and recommend updates to governance frameworks based on new risks, trends, and organizational priorities

Drive AI-related projects from planning to execution, ensuring smooth coordination among stakeholders

Oversee testing, validation, training, and rollout activities for AI-enabled solutions

Monitor solutions performance post implementation and recommend optimizations

Document learnings and provide regular updates to leadership on AI initiatives and impact.

Stakeholder Management

Work closely with IT teams, architects, developers, and business units to ensure clarity and alignment throughout solution delivery

Support change management by providing system-level details, risks, and dependency mapping

Facilitate discussions and meetings to gather insights, clarify details, and resolve technical matters.

Communicate system impacts, timelines, and risks in a way that is understandable to non-technical teams.

Conduct training or briefing on new AI tools or automation capabilities when required.

Provide knowledge transfer to developers, operations, and business teams.

Qualifications

• Bachelor’s degree in computer science, Information Technology, Computer Engineering, or related technical field.
• 2-5+ years as System Analyst, Technical Analyst, Automation Analyst, or equivalent technical role
• Knowledgeable in driving AI projects from concept to deployment
• Excellent communication skills with the ability to explain complex AI concepts clearly
• Strong background in system integration, database handling, and automation technologies.
• Knowledge of specific systems relevant to the industry (e.g., ERP, SAP, Salesforce, etc.)
• Experience with Agile methodology
• Technical skills:
• Proficiency in designing system logic, workflows, and behavior diagrams
• Strong understanding of APIs, JSON, XML, webhooks, OAuth, SAML, etc.
• Scripting/Programming knowledge (Python, JavaScript, C#, .Net)
• Familiarity with machine learning algorithms, deep learning, NLP, computer vision and data engineering
• Knowledgeable with SQL, UML, or other modelling languages