המקום בו המומחים והחברות הטובות ביותר נפגשים
Skills and attributes for success
Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.
Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.
Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.
Developing and maintaining long-term client relationships and networks.
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
Working closely with finance personas across the organization to understand their data and analytics requirements
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 5 years of experience in data management, with at least 3 years 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 Computer Science, Information Systems, Finance, or a related field; advanced degree in Data Management, AI, Finance, or relevant field
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
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