Financial Planning and Analytics Data and Analytics - Assistant Director

EY•Hartford, DC

2d•$104,000 - $221,000

About The Position

As an FP&A Data & Analytics Assistant Director at EY, you will help transform how financial and operational insights are delivered across the organization. You will partner with Finance, business leaders, data architects and engineering teams to develop data, analytics and AI-enabled solutions that improve decision-making, drive performance and create measurable business value. You will lead the evolution of modern FP&A data and analytics capabilities using technologies such as Microsoft Fabric, Azure Databricks and emerging AI platforms. The role includes shaping analytics strategies, overseeing scalable data-solution delivery and advancing timely, accurate and actionable business insights. Working across finance, technology and analytics, you will help define the future of enterprise planning, performance management and decision support. The position is based in one of the listed U.S. locations. EY describes a comprehensive compensation and benefits package, with base salary ranges varying by office location. Applications are accepted on an ongoing basis.

Requirements

A bachelor's degree in Business, Finance, Information Systems, Computer Science, Data Science or a related field, or relevant experience.
5–7+ years of experience in data engineering, analytics, business intelligence or related disciplines.
Experience partnering with business stakeholders to define requirements and deliver analytics solutions.
Experience leading or supporting enterprise data, analytics and reporting initiatives.
Strong proficiency in data modeling, ETL processes and SQL.
Hands-on experience developing or delivering enterprise data and analytics solutions using Azure Databricks and/or Microsoft Fabric.
Strong knowledge of data ingestion, transformation, orchestration, integration, modeling, testing, monitoring and production support.
Experience managing data projects and coordinating delivery across technical and business teams.
Ability to analyze complex data sets and develop insights that support strategic business decisions.
Demonstrated leadership experience, including mentoring, coaching or coordinating team members and delivery resources.
Strong verbal and written communication skills, with the ability to communicate effectively with technical and non-technical audiences.
Ability to bridge business needs and technical solutions; understand financial and operational data, analytics and reporting; manage complex initiatives; solve problems; translate business requirements into scalable solutions; influence decision-making; and communicate effectively with stakeholders and executives.

Nice To Haves

Experience supporting FP&A, finance transformation or enterprise performance management initiatives.
Experience building executive dashboards, operational scorecards and performance-management reporting solutions.
Experience with AI, predictive analytics or machine learning capabilities applied to finance or business decision support.
Experience with Azure AI Foundry, Microsoft Copilot, Fabric Data Agents or related AI-enabled analytics technologies.
Experience designing or supporting intelligent agents, conversational analytics or natural-language reporting capabilities.
Experience working within large, complex enterprise environments.
Relevant Microsoft Azure, Databricks, Microsoft Fabric or analytics certifications.
Curiosity and passion for emerging technologies, analytics and AI.

Responsibilities

Partner with Finance and business stakeholders to understand business challenges, identify opportunities and develop data-driven solutions.
Design and deliver analytics solutions that provide actionable insights and measurable business value.
Serve as a subject matter expert for assigned products, platforms or capabilities, providing guidance to business and technical teams.
Lead stakeholder discussions to evaluate requirements, define priorities and align solution delivery with business objectives.
Oversee the design and implementation of data pipelines for extracting, transforming and integrating data from multiple sources.
Collaborate with data architects and engineering teams to develop scalable and sustainable data architectures.
Optimize data platforms and storage solutions to improve performance, reliability and cost efficiency.
Present recommendations, roadmap updates and strategic insights to business leaders and stakeholders.
Coordinate with offshore development resources, supporting delivery, knowledge sharing and continuous improvement initiatives.
Promote adoption of analytics, AI and modern data practices across the organization.
Evaluate emerging technologies and recommend enhancements to improve data and analytics capabilities.