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.