AI Finance - Manager - Tech Consulting - Location Open

About the role

The AI Finance Manager supports the Finance Applications Data Lead in executing the overall data management strategy for finance applications. Key responsibilities include developing and implementing the EY AI Finance service offering, focusing on creating an industry-agnostic data model for finance applications.

Responsibilities

• Support the effective management and utilization of finance application data
• Work with business stakeholders to evaluate business models, processes, and operations
• Translate business requirements into technical specifications
• Leverage expertise in finance applications, data management, machine learning, and generative AI
• Collaborate with finance, IT, and data science teams to drive innovation and business value
• Lead complex technical initiatives and ensure accountability for performance and results
• Design and deliver system architecture solutions
• Drive continuous process improvement through innovative solutions

Requirements

• A bachelor's degree and approximately five years of related work experience; or a graduate degree in the same with 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

Qualifications

• Passionate leader with strong vision and a desire to stay on top of trends in the analytics industry
• Genuine passion for helping businesses achieve the full potential of their data

Benefits

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 with 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