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EY · 3 days ago

AI Finance - Manager - Tech Consulting - Location Open

Philadelphia, PA

Full-time

Hybrid

Mid, Senior Level

$143K/yr - $262K/yr

4+ years exp

EY is a globally connected powerhouse of diverse teams dedicated to shaping the future with confidence. The AI Finance Manager will support the Finance Applications Data Lead in executing the overall data management strategy for finance applications, leveraging expertise in finance applications, enterprise data management, and advanced technologies such as Machine Learning and Generative AI to drive innovation and business value.

AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Lead the delivery of complex technical initiatives, ensuring accountability for performance and results

Collaborate with technical teams to design and deliver system architecture solutions

Drive continuous process improvement by identifying innovative solutions through research and analysis

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

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

Qualification

Finance applications expertiseData management strategyMachine LearningGenerative AIAzure data technologiesData governanceData qualityMaster data managementData modelingCommunication skillsCollaboration skillsProblem-solving skills

Required

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

Preferred

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

Benefits

Medical and dental coverage

Pension and 401(k) plans

Wide range of paid time off options

Flexible vacation policy

Designated EY Paid Holidays

Winter/Summer breaks

Personal/Family Care

Other leaves of absence when needed to support your physical, financial, and emotional well-being

Company

EY

Glassdoor3.8

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

Founded in 1989

London, England, GBR

10001+ employees

http://www.ey.com

H1B Sponsorship

EY has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (10242)

2024 (9877)

2023 (10966)

2022 (9394)

2021 (5652)

2020 (8849)