Systems Integration Senior Specialist

AI Business Analyst – Job Description  

Mandatory Requirements 

• 5+ years of experience working as a Business Analyst or Systems Analyst in technology-driven environments. 

• Strong understanding of AI/ML concepts, data-driven decision-making, analytics workflows, and modern digital platforms. 

• Proven experience working across the product development lifecycle (requirements, design, UAT, go‑live, and post‑implementation support). 

• Ability to understand, analyze, and translate complex business processes into functional and technical requirements. 

• Strong analytical mindset with the ability to research, interpret, and present insights to drive business solutions. 

• Excellent communication and interpersonal skills, capable of working with stakeholders at all organizational levels. 

• Experience with data analysis, KPI definition, dashboarding, and converting analytical findings into business value. 

• Familiarity with predictive modelling, AI solution use cases, automation opportunities, and workflow optimization. 

• Experience collaborating with engineering, QA, data science, and product teams in fast-paced environments. 

Responsibilities 

Business Analysis & Requirements 

• Elicit, gather, and document business requirements for AI, analytics, and automation initiatives. 

• Convert business needs into functional specifications, user stories, process flows, and acceptance criteria. 

• Serve as the bridge between business teams, AI/ML teams, product owners, and engineering. 

• Participate in solutioning workshops to align business needs with technical capabilities. 

AI/ML & Data Solution Support 

• Work with data scientists to translate business challenges into AI/ML use cases and measurable outcomes. 

• Assist in model validation, data quality checks, feature inputs, and business interpretation of model results. 

• Help define KPIs, measurement criteria, and success metrics for AI-driven processes. 

• Support development of analytics dashboards, reporting frameworks, and decision-support tools. 

Project Execution & Collaboration 

• Support solution design activities including process optimization, automation, and data transformation. 

• Perform data analysis, validation, mapping, and transformation for system inputs/outputs. 

• Participate in and support all testing cycles including functional testing, UAT, and regression. 

• Develop user guides, training materials, and conduct stakeholder training sessions. 

• Assist in project planning, tracking activities, documentation preparation, and project communication. 

Implementation & Post-Implementation 

• Support integrations between AI systems, enterprise platforms, and third-party applications. 

• Monitor system performance, help troubleshoot issues, and recommend continuous improvements. 

• Work with cross-functional teams to ensure smooth product rollouts and enhancements. 

Key Skills 

• Requirements analysis & documentation 

• Process modelling (BPMN, flowcharts, user journeys) 

• AI/ML concepts (basic understanding of models, data pipelines, automation logic) 

• Data analysis & visualization (Excel, SQL, Power BI, Tableau) 

• Agile methodologies, JIRA/Confluence 

• Strong problem-solving and stakeholder management skills 

• Ability to work independently and lead cross-functional discussions 

Optional / Good-to-Have 

• Experience in RPA, intelligent automation, or conversational AI. 

• Background in product-based or platform-based solution design. 

• Exposure to cloud platforms (Azure, AWS, GCP). 

• Certifications in Business Analysis (CBAP, CCBA), Product Ownership, or Agile.