AI and Data Product Manager at Intercontinental Exchange (ICE)
Atlanta, GA
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Aug 4, 2026
Atlanta, GA
Sep 24, 2026
What this job asks for AI summary
An AI and Data Product Manager role at ICE focused on redesigning mortgage and market data workflows around AI rather than simply augmenting existing processes. The position owns strategy, roadmap, and delivery for a portfolio of AI-powered applications and data products, working closely with data science and ML engineering teams. It suits a product manager with hands-on experience shipping AI/ML or workflow-automation products and a strong empirical, process-decomposition mindset.
Senior level · 6+ years · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 6, 2026. It is a model, not a headcount.
Why we read it this way (7)
This is a product management role, not a data science or engineering role. No single SOC code maps cleanly: the closest options are 15-2051 (Data Scientists, given the AI/ML product ownership and evaluation design work) or 15-1299 (Computer Occupations, All Other, as a catch-all for AI product management). Neither is a perfect fit — the primary day-to-day work is product strategy and roadmap ownership, which is closer to a non-technical management function, but the role is deeply technical in AI/ML literacy requirements.
No work location is specified in the posting. The role is assumed to be US-based given ICE's headquarters, but remote status and metro could not be determined.
The posting explicitly states 'mid-level is the target tier' in the requirements section, but the 6+ years of PM experience and scope of responsibilities (executive communication, portfolio ownership, multi-quarter roadmap) support a Senior classification. The advertised seniority is Unspecified because the title carries no level word.
LLMs, RAG, and prompt engineering are listed under 'Technical & Tool Familiarity' (a stack/context section) but are also explicitly required in the 'Knowledge and Experience' section with firm language ('Practical AI literacy: working comprehension of LLMs, RAG, agents, prompt engineering'), so they are marked as required.
Snowflake and Databricks appear together in both the Preferred section and the Technical & Tool Familiarity section; they are listed as preferred with each other as alternatives since the posting treats them as interchangeable data warehouse options.
UiPath appears both as a workflow builder example under Preferred and as an AI orchestration tool (UiPath Maestro) under Technical & Tool Familiarity; it is captured once as preferred.
The posting explicitly states that a computer science degree, the ability to code or train models, and prior mortgage/financial services experience are NOT required — these are called out as non-requirements.
Read the full posting
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