Government and Public Sector - AI & Data - Ontology Senior Analyst

EY•McLean, VA

1d•$106,900 - $200,600•Hybrid

About The Position

The Government and Public Sector practice of Ernst & Young provides a full range of consulting and audit services to help Federal, State, Local and Education clients implement new ideas to help achieve their mission outcomes. We deliver real change and measurable results through our diverse, high-performing teams, quality work at the highest professional standards, operational know-how from across our global organization, and creative and bold ideas that drive innovation. We enable our government clients to achieve their mission of protecting the nation and serving the people; increasing public safety; improving healthcare for our military, veterans, and citizens; delivering essential public services; and helping those in need. EY is ready to help our government build a better working world. EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career. We’re seeking a highly motivated Senior Engineer to support a DOD client in the design, development, and deployment of data analytics, business intelligence, workflow automation, and low-code application solutions. This individual will work directly with the client and civilian government stakeholders to transform business requirements into actionable analytics, dashboards, and mission-support applications that improve operational effectiveness, transparency, and decision-making. This position supports a growing portfolio of work focused on operational analytics, enterprise reporting, workflow modernization, AI-enabled tools, and Power Platform-based solutions.

Requirements

Must be eligible to obtain and maintain a Secret Clearance
Must have a bachelor's degree
Must have 3-5+ years of related experience within AI & Data
Must be comfortable working in-person as needed
Experience designing and implementing enterprise ontologies, semantic data models or operational data frameworks
Experience mapping enterprise data products into ontology – driven environments and establishing standardized relationships between entities to support analytics, reporting, and decision-making.

Nice To Haves

Experience with Palantir Foundry, including ontology development, object modeling, Workshop applications, data materialization, pipeline integration, and operational decision-support use cases.
Experience supporting DOD clients, shore infrastructure, logistics, asset management, facilities management, maintenance operations, or readiness-focused analytics environments, with knowledge of how operational processes translate into data models and decision-support products.
Experience developing governance processes for ontology lifecycle management, including version control, metadata management, object stewardship, change control, and alignment between source-system data structures and operational business processes.

Responsibilities

You’ll spend most of your time working with a wide variety of clients delivering the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.