Finance Data Management and Governance - Senior - Tech Consulting - Location Open Base pay range: $112,300.00/yr - $185,400.00/yr

Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orleans, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake Village, Winston-Salem

Overview

At EY, we’re shaping futures with confidence. We help clients transform through technology, finance process efficiency, and enterprise intelligence, enabling performance improvements and IT-enabled value creation.

The opportunity

The Finance Applications Data Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the data management strategy for finance applications. The successful candidate will apply deep expertise in finance applications (planning, reporting, close/consolidation) along with enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. A key focus is developing and implementing the “FDL consulting blueprint” service offering to create an industry-agnostic data model that ensures data consistency and interoperability across finance applications. The candidate will work with the Data Lead and the Product Owner for the FDL to ensure the blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture.

Your Key Responsibilities

The Finance Applications Data Manager will collaborate with finance, IT, and data science teams to manage and utilize finance application data, leveraging Machine Learning, Gen AI, and Azure data technologies to drive innovation and value through the Azure Finance Lakehouse solution offering.

Skills And Attributes For Success

Foster relationships with client personnel at appropriate levels. Deliver high-quality client services and work products on time and within budget.

Monitor progress, manage risk, and keep key stakeholders informed about progress and outcomes.

Manage client service delivery expectations.

Effectively lead and motivate client engagement teams with diverse skills; provide on-the-job coaching to team members.

Foster an innovative, inclusive, team-oriented environment; mentor junior consultants.

Support Data Management Strategy Execution for finance applications.

Collaborate with cross-service lines to align and integrate finance data initiatives.

Define data requirements, architecture, and models for finance applications, considering ML and Gen AI.

Lead design and implementation of an extensible common information model for the FDL Blueprint.

Develop and maintain documentation, including data dictionaries, ER diagrams, and data lineage maps.

Lead development and implementation of the FDL Blueprint solution, ensuring scalability, performance, and security.

Collaborate with data scientists and finance SMEs to apply ML and Gen AI to finance applications and extend the FDL.

Support establishment and maintenance of a robust data governance framework for the FDL.

Stay current with advancements in ML, Gen AI, Data Management and Azure technologies; identify and implement innovative solutions that improve efficiency, accuracy, and insights for finance applications.

To qualify for the role you must have

A bachelor’s degree and approximately three years of related work experience; or a graduate degree with 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 and data modeling.

Strong understanding of data management principles, including data governance, data quality, and master data management.

Experience with Machine Learning techniques, Gen AI, 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 of emerging technologies.

Ideally, you’ll also have

Degree in Finance, Computer Science, Information Systems or a related field with relevant experience in finance data management including data modeling and ML.

What We Look For

We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the analytics industry. If you have a genuine passion for helping businesses unlock the full potential of their data, this role is for you.

What We Offer You

Comprehensive compensation and benefits package with base salary ranges as stated above; additional location-specific ranges may apply. Total Rewards include medical and dental coverage, pension and 401(k), and paid time off options.

Hybrid model: most client-serving roles require in-person collaboration 40-60% of the time over engagements or projects.

Flexible vacation policy and designated EY holidays, breaks, and other leaves to support well-being.

Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California residents, please see additional information. EY is an equal opportunity employer and provides reasonable accommodations on request.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance and Sales

Industries: Professional Services

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