AI Finance - Manager - Tech Consulting - Location Open

About the role

The AI Finance 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, data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas.

Responsibilities

• Develop and implement the EY AI Finance service offering, creating an industry agnostic data model for finance applications.
• Work closely with the Data Lead and Product Owner for the EY AI Finance offering to ensure the EY AI Finance Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture.
• Interact with business stakeholders to evaluate business models, processes, and operations, gathering, understanding, and analyzing business requirements.
• Provide in-depth analysis related to the implementation, customization, and optimization of specific technology platforms.
• 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.

Requirements

• 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.

Qualifications

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

Benefits

• Comprehensive compensation and benefits package including medical and dental coverage, pension, and 401(k) plans.
• Flexible vacation policy allowing you to decide how much vacation time you need based on your personal circumstances.
• Hybrid work model with most people in external, client serving roles working together in person 40-60% of the time over the course of an engagement, project or year.
• Equal employment opportunity and reasonable accommodation for candidates with disabilities.

Pay

$142,600 to $261,500 base salary range for all geographic locations in the US.

Schedule

Hybrid work model with most people in external, client serving roles working together in person 40-60% of the time over the course of an engagement, project or year.