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Healthcare FP&A Domain Expert, Applied AI

Translucent · New York City near Union Square · Active · $175,000–$250,000 / year · Greenhouse

Job facts

FieldValue
CompanyTranslucent
TitleHealthcare FP&A Domain Expert, Applied AI
Normalized title-
Department / teamInsights
LocationNew York City, NY, United States
Work model-
Employment type-
Salary$175,000–$250,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-03 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-21

Related slices

PageWhat it containsOpen
Company jobsActive postings from Translucent.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York City.Open
Department jobsActive postings in Insights.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyTranslucent
Source85ee8300-facb-435a-8c0d-36d39d5a306b
ATS providerGreenhouse

Description

Role Details Full-Time Office Location - New York City (preferred) Why Translucent Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance— giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. Role Overview We are looking for an experienced healthcare FP&A person with a strong understanding of how finance teams at enterprise healthcare provider organizations (medical groups, health systems) plan, forecast, analyze, and report on business performance. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a deep understanding of our customers' financial planning workflows and how those workflows can be accelerated by AI systems. What You'll Do To facilitate the development of these systems, you will: Develop and deliver subject-matter expertise in financial planning & analysis to support AI research Work closely with our engineering, product, and design teams to define and develop AI systems for FP&A workflows Build proprietary benchmarks and datasets to evaluate models and AI Agents against real-world FP&A tasks — including forecasting, variance analysis, scenario modeling, board reporting, and more Partner directly with customers to understand their planning cycles, identify pain points, and translate complex financial and business requirements into technical solutions What You Have 7 years of experience in FP&A, corporate finance, investment banking, or an equivalent finance function — ideally with exposure to budgeting, forecasting, financial modeling, and management reporting Strong proficiency with financial models, spreadsheets, and common FP&A tools (e.g., Excel, Google Sheets, Anaplan, Adaptive, NetSuite, Strata or similar) Demonstrated ability to deliver high-quality financial analysis on demanding deadlines Ability to effectively communicate with a variety of internal and external stakeholders and translate complex problems between finance, product, and engineering teams Ability to define positive outcomes in situations with underspecified success criteria Deep intellectual curiosity and eagerness to learn across domains — particularly at the intersection of finance and AI Willingness and desire to do work in the trenches — e.g., grading hundreds of model-generated forecasts, breaking down thousands of financial documents, stress-testing outputs against real-world standards. Getting AI to do analyst-level FP&A work requires a lot of things that look like analyst-level FP&A work Nice to Have Experience at a high-growth startup Familiarity with SQL, Python, or other data tools Prior exposure to AI/ML concepts or prompt engineering Anticipated compensation: $175,000 - $250,000 and Equity

Full job record

Job ID6828bc6f87a600795f61934180423c76344ae6e5
Org ID4e01d774-6eec-4a88-bc46-285800c3172c
Source ID85ee8300-facb-435a-8c0d-36d39d5a306b
Board ID85ee8300-facb-435a-8c0d-36d39d5a306b
Providergreenhouse
Provider Job Key4164085009
TitleHealthcare FP&A Domain Expert, Applied AI
Normalized Title
Statusactive
Activeyes
Location TextNew York City near Union Square
DepartmentInsights
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionNY
CityNew York City
Salary Rawcompensation: $175,000 - $250,000 and Equity
Salary Min175,000
Salary Max250,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/translucent/jobs/4164085009
Apply URLhttps://job-boards.greenhouse.io/translucent/jobs/4164085009
First Seen At2026-05-29 22:59:46Z
Last Seen At2026-06-21 07:35:49Z
Last Checked At2026-06-21 07:35:49Z
Last Changed At2026-05-29 22:59:46Z
Inactive At
Source Posted At2026-03-03 15:39:25Z
Source Updated At2026-05-28 22:23:02Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=translucent/date=2026-06-21/2026-06-21T07-35-48-915Z-49049968100dcc2cbb866efb17744e6dc20cb9beb45e637e536a2d132fd2bfdc.json
Event Fields
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  "last_changed_at": "2026-05-29T22:59:46.073Z",
  "active_status": "active"
}
Parsed Structured
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  "workplace_type": null,
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "first_published": "2026-03-03T10:39:25-05:00",
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