Ernst & Young-posted 3 months ago
$112,300 - $185,400/Yr
Full-time • Mid Level
Chicago, IL
Professional, Scientific, and Technical Services

The Finance Applications Data Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise in finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended to ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.

  • Support the effective management and utilization of finance application data.
  • Leverage Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value.
  • Develop and implement the Azure Finance Lakehouse solution offering.
  • Foster relationships with client personnel at appropriate levels.
  • Monitor progress, manage risk, and confirm that key stakeholders are kept informed about progress and expected outcomes.
  • Manage expectations of client service delivery.
  • Effectively manage and motivate client engagement teams with diverse skills and backgrounds.
  • Provide constructive on-the-job feedback/coaching to team members.
  • Foster an innovative and inclusive team-oriented work environment.
  • Play an active role in the counselling and mentoring of junior consultants within the organization.
  • Collaborate with cross-service line teams to ensure alignment and integration of finance application data with related data initiatives.
  • Define data requirements, data architecture, and data models for finance applications.
  • Lead the design and implementation of an extensible common information model for the FDL Blueprint.
  • Develop and maintain documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps.
  • Collaborate with data scientists and finance SMRs to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas.
  • Support the establishment and maintenance of a robust data governance framework for the FDL.
  • Stay current with the latest advancements in Machine Learning, Gen AI, Data Management, and Azure technologies.
  • A bachelor's degree and approximately three years of related work experience; or a graduate degree in the same and approximately two years of related work experience.
  • Minimum of 2 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.
  • Degree in Finance, Computer Science, Information Systems or a related field with relevant experience in finance data management including data modeling and ML.
  • Comprehensive compensation and benefits package.
  • Medical and dental coverage.
  • Pension and 401(k) plans.
  • Wide range of paid time off options.
  • Flexible vacation policy.
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