Technology Partner - Banking and Financial Services (BFS)

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business. Requirements The individual in this role will be required to provide Thought Leadership and Client Engagement Liaise with all levels of data leaders at our strategic clients to provide forward looking advisory and thought leadership Hold brown bags and educative forums to share thought leadership with our core clients Hold client platform, organization and practices reviews proactively and provide improvement recommendations, solutions and roadmaps Provide technology leadership to transformation agendas rooted in Data and Insights, addressing Technology, Organization and Processes Help recruit key talent to fill key client technology roles Create detailed technology solutions for first of a kind and complex initiatives Pre- Sales and New business Present Tiger capabilities to new prospects Create Solutions and Proposals for client requirements Data and Insights Practice Leadership Mentor Engineering Talent at different levels Manage architect resources Create thought leadership content for go to market offerings including reference architectures, methods and practices Interview and participate in helping evolve hiring practices Liaison with offshore counterparts on solutions, training and overall capabilities development Expertise And Skills Needed Experience with Solution Architecture development for large enterprises and transformation programs Strong experience with traditional and modern data platforms – nosql, mpp, columnar, big data and cloud data platforms. Experience with Cloud Data platform services across AWS, Azure and GCP Experience with Data processing tools and frameworks including batch ETL, real time streaming and IoT architectures Experience with Big Data, Data Fabric and Data Mesh Architectures. Experience with Federated and centralized Data Management practices and technologies including Data Governance. Experience with industry leading data management platforms Experience with establishing Data governance, Data catalogs and deep understanding of all dimensions of data security Experience and expertise on MLOPs processes, platforms and organizational implications Experience with ML Models and modeling lifecycle Experience with data warehousing, BI lifecycle and technologies …