Key Responsibilities :Collaborating with Credit Risk Business Stakeholder, Service Owners, Solution Engineers and Line of Business (LOB) Leads to prioritize, size, and assess the requirements and backlogWorking with business units to understand Credit Risk-related data elements, including reference data, metadata, and data lineageGuiding Agile teams in designing, developing, testing, implementing, and supporting technical solutions using full-stack development tools, technologies, and DevOps processes.Support translation of business requirements into IT solution concept and designsSupport development of solution architectures that ensure successful implementation of technology solutions while aligning with design principles and standardsSupport the production incidents through root cause analysis to identify if the production issues were because of a design defect or requirements gap and provide effective solutionsProvide third-line support for any issues where necessaryProvide input to high level IT & Business Solution Design documentsProvide input and advice to the business for the effective application of technologiesProvide end to end implementation planning supportProvide oversight and validation of proposed complex changes to business services to ensure ongoing stability and sustainabilityDeliver cost estimates for the design and develop phase in partnership with the architect, business analysts, project management, subject matter experts and solution providers for projects to provide accurate and timely cost estimatesAssist the Solution Engineer and Data Engineers in design and developmentContribute to strategic design, development and deployment supporting projects / deliverablesRequired Professional and Technical Expertise :3+ years of SAS Tech Lead experience in a similar role5+ years of experience within projects and / or delivery of business and technology solutions, involving engineering of complex data processes5+ years of Advanced SQL and SAS experience particularly in data manipulation, cleansing using Base SAS, SAS / Macro, SAS DI Studio, SAS Enterprise Guide, SAS Management Console and overall SAS Platform3+ years of experience in Big Data (Hadoop, Spark, Hive, HBase, Python), API Dev(Java Spring, MVC), Azure Cloud (Synapse Analytics, CosmosDB)Experience in warehousing, modelling, integration tools such as Informatica, Sterling and be familiar with business intelligence tools such as IBM Cognos / TM1, Power Bi, Tableau.Experience designing solution within SAS 9.4 or Viya platformExperience working in Azure cloud environmentUnderstanding of the Data Mesh Architecture and its Domain Data Products conceptsAnalysis and design experience on medium to complex 'enterprise sized' projects.Systems integration experience and Technology industry experience, exposure to the Banking industry specially Credit Risk domainDevelopment and deployment experience on more than one platform and exposure to multiple development methodologiesMust have experience in systems and data integrationAdvanced analysis, problem solving and troubleshooting and consultative skillsDesired Attributes and Skills :A firm understanding of a financial services operating environment and core applications and products desirable#J-18808-Ljbffr