Avp/vp, Sr. Business Analyst, Data

If you are passionate about playing a key role in the success of a multinational banking and financial service provider we want to hear from you Our client is a well-established brand in the banking and financial industry and they are looking for an **AVP/VP, Sr. Business Analyst, Data & Analytics **to join their team in Singapore. This is an exciting opportunity to expand your skillset, and achieve job satisfaction and work-life balance. **Key Responsibilities**: - Perform estimation of budget, resource requirements, and timeline required for the implementation of IT solutions to meet project objectives. - A review of vendor augmentation is required and perform RFP and vendor evaluation as required. - Produce and present Project Proposal (PP) to senior stakeholders to endorse the plan and secure funding for project execution. - Support the Business Lead or Product Owner to facilitate and elicit requirements from business stakeholders for the purpose of producing. Business Requirements Documents (BRD) or User Stories. - Lead discussions to propose IT solutions that meet business requirements. - Validate IT solutions with engineering and architecture teams, and ensure specifications are properly understood by the rest of the project delivery team. - Present IT solutions to business and IT stakeholders to explain how the solution addresses their business requirements. - Hand over the project to Project Manager (PM) for project execution. - During the project execution phase prepare Functional Specifications Document (FSD), in alignment with the Bank’s IT landscape, along with the delivery of the Requirements Traceability Matrix (RTM). - Support the project team during the execution phase of the project for any queries pertaining to the FSD or BRD or User Stories. Where necessary, re-engage business SMEs to revise requirements and/or for the acceptance of alternative solutions, due to design or implementation constraints encountered. - Support the Quality Assurance team to define the test strategy and approach and provide clarifications to queries during the testing phase, to both the Quality Assurance team and Business Testers during testing phases. - Support the Test Manager in the triaging of defects to categorize their criticality and prioritize defect fixing where necessary. - Prepare training plans and user manuals; conduct training to users before system launch and provide close support to system users in the adoption of the new system. **Qualifications** Possess hands-on domain experience in the areas of Data: - Proficient in the formulation of data strategies and next-gen capability build such as "Data as a Service", CI/CD model pipeline management, and AI/ML operationalization. - Hands-on solutions and development work on technical stacks/components on Apache Hadoop/Spark-based data platforms like Cloudera CDP. - Data Science/Management with associated continuous integration tools, Machine Learning solutions, and libraries primarily on the python-based enterprise solution. - Server-based self-service visualization tools. - Solution or develop micro-services to serve data in a decentralized architecture. - Prior experience in implementing data virtualization strategy would be an added advantage. - Experience in data ingestion framework from Core ERP T24, Oracle ERP implementation, and downstream data modeling to Financial Regulatory Reporting, MAS 610, FATCA, CRS, etc. will be advantageous. **Requirements**: - At least 10-year experience as a Business Analyst or Solution Manager in a similar discipline. - Experience in Power BI and Teradata. - Excellent interpersonal and communication skills, with a strong ability to manage and align expectations of the senior-level business. stakeholders across different business units to accept solutions proposed by the project team. - Proficient in the documentation of use cases, visual modeling, and business processes. - Good knowledge of system engineering concepts, data, and information structures in an IT system environment including that data modeling and database design appreciation. - Possesses critical thinking and problem-solving skills. - Project Management and Agile Methodology skills with a strong delivery mindset, experience, and certification preferred. - Domain knowledge in big data discovery/management, data model design, and tooling, financial regulatory reporting, and expense management preferred. - A degree in computer science or financial information systems disciplines is preferred. **WHAT’S ON OFFER** Your interest will be treated with strict confidentiality.