The Senior Business Information Management Analyst (US) provides business technical leadership across a broad range of information management functions to support the various areas of data and analytics. Works independently as a senior lead and may manage and direct activities related to analysis, design and support of business data management solutions on various projects ranging up to larger projects. Depth & Scope: Expert level professional role, considered subject matter expert with in-depth knowledge / expertise in own domain / field of specialty and working knowledge of broader related areas Requires expert level conceptual and practical knowledge for own area of specialty and knowledge of broader related areas Advanced analytical and problem solving skills and fluent in one or two programming language Works autonomously on a range of tasks and may be relied upon to coach / educate others Lead projects of moderately to complex risk and resource requirements; may lead end-to-end processes or functional programs In-depth experience working with very large datasets and familiarity with big data technologies Keeps abreast of rapid business and technology innovation within business information management field Familiar with visualization tools Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes Supports solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.) May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists Supports data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities Supports business teams in the use and understanding of the data and reporting solutions Develops data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data Drives data-centric solution development focusing on complex data integration Adopts the Enterprise Data model in alignment with direction from the OCDO and other data & analytics functional groups Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions