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Government and Infrastructure - AI & Data - Data Ontology Senior Analyst

Job in McLean, Fairfax County, Virginia, USA
Listing for: EY
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 107000 - 193000 USD Yearly USD 107000.00 193000.00 YEAR
Job Description & How to Apply Below
Government and Infrastructure - AI & Data - Data Ontology Senior Analyst

Location:

Mc Lean

Other locations:
Primary Location Only

Date:
Oct 4, 2026

Requisition

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 to build a better working world.

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.

Your key 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.

Skills and attributes for success
  • Demonstrated experience designing and implementing enterprise ontologies, semantic data models, or operational data frameworks that translate business processes, assets, work orders, and performance measures into reusable analytics‑ready data structures. Based on PAE SI requirements, this includes defining ontology objects, relationships, and governance models aligned to mission outcomes.
  • Experience mapping curated enterprise data products into ontology‑driven environments and establishing standardized relationships between entities to support analytics, reporting, and operational decision‑making. This includes translating Gold‑layer data into mission‑relevant business objects and enabling downstream consumption.
  • Experience facilitating collaboration among business owners, data architects, engineers, and end users to define data definitions, business rules, object hierarchies, metadata standards, and data governance requirements that support trusted partners.
To qualify for the role, you must have
  • Must be eligible to obtain and maintain aSecret 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.
Ideally, you’ll also have
  • 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…
Position Requirements
10+ Years work experience
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