EY
AI Finance - Senior - Tech Consulting - Location Open
EY, San Jose, California, United States, 95199
AI Finance – Senior – Tech Consulting – Location Open
Join EY as a Senior AI Finance Consultant. This role is responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications.
Locations: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem.
About EY At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.
The Opportunity The AI Finance Senior 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 deep expertise in finance applications (planning, reporting, close/consolidation) coupled with skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (GenAI) to support key finance personas. One of the key responsibilities is developing and implementing our EY AI Finance service offering, with the goal of creating an industry agnostic data model that can be utilized as a starting point and extended to ensure data consistency and interoperability across finance applications. The candidate will work closely with the Data Lead and the Product Owner for the EY AI Finance solution 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.
Your Key Responsibilities
Engage with business stakeholders to gather and analyze business requirements.
Collaborate with technical teams to design and deliver system architecture solutions.
Tailor technology platforms to align with business processes and objectives.
Work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing Machine Learning, GenAI, and Azure data technologies.
Bridge the gap between business needs and technical solutions as a Senior Platform Business Analyst.
Engage with clients, analyze their requirements, and collaborate with technical teams to design and deliver effective system architecture solutions.
Help clients maximize their investment in technology platforms through effective use and continuous improvement.
Travel may be required to meet with clients and participate in project activities.
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 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.
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 GenAI 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 GenAI 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, GenAI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.
Qualifications
A bachelor's degree and approximately three years of related work experience; or a graduate degree in the same field and approximately two years of related work experience.
Minimum of 2 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, GenAI 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 Qualifications
Degree in Finance, Computer Science, Information Systems or a related field with relevant experience in finance data management including data modeling 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 the analytics industry. 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
Comprehensive compensation and benefits package; base salary range for this job in all geographic locations in the US is $102,500 to $187,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $122,900 to $213,400. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Hybrid model: 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.
Flexible vacation policy: you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/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 including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
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Locations: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem.
About EY At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.
The Opportunity The AI Finance Senior 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 deep expertise in finance applications (planning, reporting, close/consolidation) coupled with skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (GenAI) to support key finance personas. One of the key responsibilities is developing and implementing our EY AI Finance service offering, with the goal of creating an industry agnostic data model that can be utilized as a starting point and extended to ensure data consistency and interoperability across finance applications. The candidate will work closely with the Data Lead and the Product Owner for the EY AI Finance solution 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.
Your Key Responsibilities
Engage with business stakeholders to gather and analyze business requirements.
Collaborate with technical teams to design and deliver system architecture solutions.
Tailor technology platforms to align with business processes and objectives.
Work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing Machine Learning, GenAI, and Azure data technologies.
Bridge the gap between business needs and technical solutions as a Senior Platform Business Analyst.
Engage with clients, analyze their requirements, and collaborate with technical teams to design and deliver effective system architecture solutions.
Help clients maximize their investment in technology platforms through effective use and continuous improvement.
Travel may be required to meet with clients and participate in project activities.
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 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.
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 GenAI 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 GenAI 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, GenAI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.
Qualifications
A bachelor's degree and approximately three years of related work experience; or a graduate degree in the same field and approximately two years of related work experience.
Minimum of 2 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, GenAI 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 Qualifications
Degree in Finance, Computer Science, Information Systems or a related field with relevant experience in finance data management including data modeling 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 the analytics industry. 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
Comprehensive compensation and benefits package; base salary range for this job in all geographic locations in the US is $102,500 to $187,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $122,900 to $213,400. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Hybrid model: 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.
Flexible vacation policy: you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/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 including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
#J-18808-Ljbffr