AI Finance - Manager - Tech Consulting - Location Open
About the role
The AI Finance Manager plays a crucial role in supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. This role leverages deep expertise in finance applications, data management, and machine learning to support key finance personas.
Responsibilities
- Develop and implement EY's AI Finance service offering, creating an industry-agnostic data model for finance applications.
- Work closely with the Data Lead and Product Owner to design and deliver system architecture solutions, ensuring data consistency and interoperability across finance applications.
- Interact with business stakeholders to evaluate business models, processes, and operations, gathering and analyzing business requirements to translate them into technical specifications.
- Provide in-depth analysis related to the implementation, customization, and optimization of specific technology platforms.
- Lead workstream delivery, manage processes and solutions effectively, and maintain a focus on quality and risk management.
- Engage with clients daily, participate in planning and execution, and identify opportunities for additional services.
- Lead 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
The successful candidate must have a bachelor's degree and approximately five years of related work experience, or a graduate degree in the same field 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, and 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).
Qualifications
- 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.
- A genuine passion for helping businesses achieve the full potential of their data.
Skills
- Fostering relationships with client personnel at appropriate levels.
- Consistently running and delivering quality client services.
- Maintaining quality work products within expected time frames and on budget.
- Monitoring progress, managing risk, and keeping key stakeholders informed about progress and expected outcomes.
- Managing expectations of client service delivery.
- 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 counseling 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.
Benefits
EY offers a comprehensive compensation and benefits package, including medical and dental coverage, pension, and 401(k) plans, and a wide range of paid time off options. The base salary range for this role in the US is $142,600 to $261,500, with a higher range for New York City Metro Area, Washington State, and California (excluding Sacramento).
Pay
The base salary range for this role in the US is $142,600 to $261,500. The base salary range for New York City Metro Area, Washington State, and California (excluding Sacramento) is $171,200 to $297,200. Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography.
Schedule
Our expectation is for most people in external, client-serving roles to work together in person 40-60% of the time over the course of an engagement, project, or year. Employees are also granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support their physical, financial, and emotional well-being.