{"id":1569990,"url":"https://alion.io/job/obviant-defense-acquisition-domain-expert","title":"Analyst - Defense Acquisition","company":{"id":679975,"name":"Obviant","domain":"obviant.com","url":"https://alion.io/company/obviant","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":171000,"period":"year","method":"role_country_seniority_unknown","sample_n":5210},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-30T18:44:08Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-25T13:30:50Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"About Obviant\nThe defense market is surging, but the data that drives it hasn’t kept up. Companies, government, and investors are forced to perform heavily manual processes and piece together hundreds of disparate sources to make decisions. Obviant is building a data source of truth and AI tools for defense acquisition to solve this. We fuse information from thousands of sources - structured + unstructured - to provide a cohesive picture of budget, programs, the organizations running them, and much more. Whether it’s a company navigating GTM or a program manager developing capabilities, we’re providing all sides with the intelligence they need to execute effectively. We’re growing fast and backed by top funds and DoD/national security veterans.\nWe believe that public sector mission sets matter above anything else. If you feel the same way, we’d love for you to join us.\nThe role\nAs our Defense Acquisition Data Analyst, you make sure the data behind Obviant is right and that it means what acquisition professionals think it means. You sit between the people who know how a program element, a contract line item, or a milestone decision actually works and the engineers and managers who turn that knowledge into models, pipelines, and products.\nWho we're looking for. Someone with deep defense acquisition expertise how requirements become programs, get funded, and get put on contract who also knows the data systems that track that process: what they contain, what they leave out, and how far they can be trusted.\nWhat you'll do\nBe the authority on our sources. Know what each defense data system contains and what it doesn't, including how and when data is reported.\n\nKnow the limitations. Explain reporting lags, coverage gaps, omitted or restricted data, inconsistent identifiers, and where official sources disagree and what that means for the conclusions users draw.\n\nConnect the dots across sources. Explain how a budget request relates to the program it funds, the contracts that execute it, and the organizations that manage it, and where those links break down.\n\nCatch what's substantively wrong. Flag data and results that are technically valid but don't match how acquisition, budgeting, or contracting actually work.\n\nAdvise product and engineering. Tell the team how each source should be interpreted and presented, so the product reflects what the data actually says.\n\nEvaluate AI outputs. Write test questions and review model-generated answers so our AI features give acquisition professionals decision-grade results.\n\nSupport customers. Join customer conversations, explain where our data comes from and its caveats, and help government and industry users trust what they see.\n\nCapture and encode SME knowledge to improve our systems\n\nWho we're looking for\nYou're a defense acquisition expert first. You understand how the system works end to end, and you know the data systems that record it well enough to explain their strengths and blind spots.\nRequired:\n6+ years in defense acquisition, budgeting, or contracting e.g., program office, comptroller/financial management, contracting, PPBE, either as a government employee or a contractor supporting those functions\n\nComplete working knowledge of the defense acquisition system from requirements (e.g., JCIDS), funding (e.g., PPBE), and management (e.g., DAS)\n\nFluency in budget concepts: appropriations and colors of money, program elements and budget line items, justification exhibits (R-1, P-1, J-books), and how funds move from request to obligation\n\nUnderstanding of contracting vehicles, contract types, and how awards and modifications are made and reported\n\nDeep familiarity with the DoW data systems of record behind acquisition, budget, or contracts or related domains including what they contain, what they omit, reporting lags, and where they conflict\n\nStrong analytical skills; comfortable working hands-on with large, messy datasets in Excel or similar tools\n\nAbility to explain complex concepts plainly to engineers, customers, and executives\n\nComfort with ambiguity and incomplete data you know what \"good enough\" is and isn't\n\nStrong written communication; you document what you know so others can use it\n\nNice to have:\nDAWIA / DAU certification (Program Management, Contracting, or Business - Financial Management)\n\nExperience at DoD/DoW, a military service, DIU, or a defense-focused consultancy or FFRDC\n\nFamiliarity with LLMs, retrieval, or evaluating AI-generated answers\n\nExperience querying data with SQL or Python\n\nActive security clearance\n\nWhat success looks like\nThe product team and engineers come to you first when they need to know how a budget, program, or contract concept actually works.\n\nYou've documented what each of our core sources contains, what it leaves out, and its known limitations, and the team uses that reference every day.\n\nCustomers trust our data because you can explain where it comes from, what it means, and where its caveats are.\n\nOur AI features give accurate, acquisition-grade answers, backed by test questions and reviews you've built.\n\nYou catch substantive errors numbers that look valid but don't match how acquisition works before users do.\n\nYou've helped shape new product features by turning real acquisition workflows and user questions into clear requirements.\n\nOur Principles\nWe live these every day. If they don't sound like you, this won't be a fit and we'd both rather know now.\nImpact. Our work matters. We take a lot of pride in building to advance mission outcomes.\n\nOverdeliver. We go above and beyond in everything we do - creating products and serving our users\n\nHustle. We get stuff done, no matter what it takes.\n\nEmpathy. Our users’ problems are our own. We don't push products, we solve problems.\n\nHumility. We’re not afraid to admit what we don’t know. Our job is to listen and grow.\n\nIntegrity. Transparency & respect above all else. It’s non-negotiable, even when it isn't easy\n\nBenefits & Structure\nFlexible schedule - We all have other things going on in our lives. Doctor visits, kids’ activities, dog walks - take care of it whenever you have to. And work from home when you need to.\n\nSizeable equity - We’re building something with massive upside potential, and you’ll have ownership in that. This is ours.\n\nFlexible vacation time - Use what you want, as long as you’re taking care of what needs to get done.\n\nFull health, dental, and vision insurance.\n\nTo apply, visit obviant.com/careers\nObviant is an Equal Opportunity Employer. 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