AI & Data Engineering Business Analyst

We are seeking an experienced AI & Data Engineering Business Analyst with strong Banking and Financial Services domain expertise to act as the bridge between business stakeholders and data engineering, analytics, and AI teams.The ideal candidate will have experience in gathering and translating business requirements into data and analytics solutions, supporting enterprise data platforms, AI/ML initiatives, regulatory reporting, customer analytics, risk management, and digital transformation programs. The candidate should be comfortable working with business leaders, product owners, data architects, data engineers, and technology teams in an Agile environment.Key ResponsibilitiesBusiness Analysis & Stakeholder ManagementCollaborate with business stakeholders to understand strategic objectives, business processes, and pain points.Conduct workshops, stakeholder interviews, and requirement elicitation sessions.Translate business requirements into functional and non-functional specifications.Act as a liaison between business, product, data engineering, analytics, and AI teams.Facilitate requirement prioritization and backlog management.Data & Analytics RequirementsDefine data requirements for reporting, analytics, dashboards, and AI/ML use cases.Create business process flows, use cases, data mappings, source-to-target mappings, and functional specifications.Work with Data Engineers to define data ingestion, transformation, and validation requirements.Support data quality, data governance, metadata management, and data lineage initiatives.Define KPIs, business metrics, and success criteria for data products.AI & Advanced Analytics InitiativesIdentify opportunities to leverage AI, Machine Learning, Generative AI, and predictive analytics to improve business processes.Assist in defining AI/ML use cases, business value hypotheses, and adoption strategies.Collaborate with Data Scientists and AI Engineers during solution design and implementation.Support UAT, model validation, and business acceptance activities.Banking & Financial Services Domain SupportWork on initiatives related to:Wealth ManagementCapital MarketsInvestment BankingRisk & ComplianceRegulatory ReportingTrade ProcessingCustomer AnalyticsAML/KYCFinancial Data ManagementEnsure proposed solutions align with regulatory and compliance requirements.Delivery & Agile SupportCreate and maintain user stories, epics, acceptance criteria, and business documentation.Participate in Agile ceremonies including sprint planning, backlog grooming, standups, and retrospectives.Track requirements through the SDLC and support change management activities.Coordinate UAT execution and defect management.Required SkillsBusiness AnalysisRequirements GatheringFunctional SpecificationsUse Case DevelopmentProcess MappingUser Story CreationUAT CoordinationStakeholder ManagementData & AnalyticsData Warehousing ConceptsData Modeling FundamentalsETL/ELT ConceptsData Quality & Data GovernanceReporting & Dashboard RequirementsKPI DefinitionTechnical UnderstandingSQL (mandatory)Understanding of Data Lakes and Modern Data PlatformsSnowflake, Databricks, Azure Data Platform, AWS Data Services (preferred)APIs and Data Integration ConceptsFamiliarity with AI/ML lifecycle and Generative AI use casesToolsJIRAConfluenceVisio / LucidchartSQLPower BI / TableauAzure DevOps (preferred)Required Experience7-9 years of experience as a Business Analyst, Data Analyst, or Functional Consultant.Minimum 4+ years of experience in Banking and Financial Services.Experience working with enterprise data platforms, data engineering programs, or analytics initiatives.Experience interacting with senior business stakeholders and technology teams.Strong understanding of Agile delivery methodologies.Preferred QualificationsBachelor's degree in Engineering, Computer Science, Information Systems, Finance, or related field.MBA or relevant postgraduate qualification preferred.CBAP, CCBA, PMI-PBA, Scrum certifications are advantageous.Exposure to AI/ML, Generative AI, or Data Science projects is a plus.Desired Candidate ProfileThe ideal candidate should possess:Strong BFSI business knowledge.Excellent communication and stakeholder management skills.Analytical and problem-solving mindset.Ability to translate complex business requirements into actionable data solutions.Experience working in global delivery environments and cross-functional teams.Ability to manage multiple stakeholders and priorities in a fast-paced environment.