AI Finance - Manager - Tech Consulting - Location Open

AI Finance Manager, Tech Consulting

Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realise the value they can gain from their IT investments. We deliver exceptional client service – providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.

The opportunity

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 (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our EY AI Finance service offering, with the goal of creating an industry‑agnostic data model that can be utilised as a starting point and be extended to ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the EY AI Finance offering to ensure that the EY AI Finance Blueprint is designed on a foundation of accurate, consistent and reliable finance application data architecture, enabling informed decision‑making.

In this role, you will interact with business stakeholders to evaluate business models, processes and operations. You will gather, understand and analyse business requirements, translating them into technical specifications. Your expertise in specific technology platforms will be crucial in providing in‑depth analysis related to their implementation, customisation and optimisation.

Your key 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.
• Support finance, IT and data science teams to harness ML, Gen AI and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.
• Lead workstream delivery, ensuring processes and solutions are managed effectively while maintaining a focus on quality and risk management.
• Engage with clients daily, participate in planning and execution, and identify opportunities for additional services.

Skills and attributes for success

• 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 ensuring stakeholders are kept informed.
• Managing expectations of client service delivery.
• Effectively managing and motivating client engagement teams with diverse skills and backgrounds, providing constructive feedback and coaching.
• Fostering an innovative and inclusive team‑oriented work environment; mentoring junior consultants.
• 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 ML 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 the 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 ML 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 ML, Gen AI, Data Management and Azure technologies and identifying innovative solutions that drive efficiency, accuracy and insights for finance applications.

To qualify for the role you must have

• A bachelor’s degree and approximately five years of related work experience; or a graduate degree and approximately four years of related work experience.
• Minimum of four years of experience in data management, with at least one year focused on finance application data, data modelling and financial modelling.
• 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 modelling (PnL, Balance Sheet, Cash Flow).
• Proficiency in data integration, data transformation and data modelling 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.

Ideally, you’ll also have

• Degree in Finance, Computer Science, Information Systems or a related field with relevant experience in finance data management, data modelling 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 analytics. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

What we offer you

• A comprehensive compensation and benefits package rewarded on performance. Base salary ranges: $142,600 to $261,500 across the US; $171,200 to $297,200 for New York City, Washington State and California (excluding Sacramento). Total Rewards includes medical and dental coverage, pension and 401(k) plans and paid time off.
• Hybrid model – most external, client‑serving roles work together in person 40‑60% of the time over the course of an engagement, project or year.
• Flexible vacation policy based on personal circumstances. Additional leave for EY Paid Holidays, Winter/Summer breaks, Personal/Family Care and other leaves.

Equal Employment Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, colour, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.