Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications + Collaborating with cross-service line teams, including Finance, Managed Services, and Tech Consulting to ensure alignment and integration of finance application data with related data initiatives + Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies + Leading the design and implementation of an extensible common information model for the FDL Blueprint + Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps + Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security + Collaborating with data scientists and finance SMR's across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL + Supporting the establishment and maintenance of a robust data governance framework for the FDL + Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications **To qualify for the role you must have** + A bachelor's degree and approximately five years of related work experience; or a graduate degree in the same and approximately four years of related work experience. + Minimum of 4 years of experience in data management, with at least 1 year focused on finance application data, data modeling, financial modeling + Strong understanding of data management principles, including data governance, data quality, and master data management + Experience with Machine Learning techniques, Gen AI technologies, and Azure data services (e.g., Azure Data Lake, Azure Synapse Analytics, MS SQL, Python) + Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow) + Proficiency in data integration, data transformation, and data modeling tools and techniques + Excellent communication, collaboration, and problem-solving skills + Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies **Ideally, you'll also have** + Degree in Finance, Computer Science, Information Systems or a related field with relevant experience in the finance data management including data modeling and ML.