# AI and Data Product Manager

Job Purpose Intercontinental Exchange, Inc. (ICE) is seeking an AI and Data Product Manager to lead the transformation of established business workflows by rebuilding them around AI-not by layering AI on top of them. This role owns the strategy, roadmap, and delivery of our AI-powered applications and data products, sitting at the intersection of business operations, data science, machine learning engineering, and our customers. You will be part of a highly visible team central to ICE’s strategy to analyze mortgage and market data and deliver AI-driven insights to our clients in a meaningful, responsible, and scalable way. This is a process-transformation role first and a feature-delivery role second. We hire for the ability to decompose workflows and apply AI where it is verifiable-not for prior expertise in any specific industry. A track record of entering an unfamiliar domain, mapping its workflows, and shipping something measurable is the signal we value most. Responsibilities Map and decompose existing business workflows end-to-end-identifying steps that are high-volume, high-variance, and verifiable-before deciding where AI belongs. Reimagine processes around AI rather than

- **Id**: 3718450
- **Url**: <https://alion.io/job/intercontinental-exchange-ai-and-data-product-manager>
- **Role**: Product
- **Role family**: Product
- **Seniority**: senior
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Atlanta, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Experience years min**: 6
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-03T22:09:00Z
- **Employer posted date**: 2026-11-04
- **Last verified at**: 2026-11-06T09:27:18Z
- **Board verified**: yes
- **Days open**: 2
- **Description format**: text
- **Description chars**: 6700
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Financial Services, Stock Exchanges & Market Infrastructure

## Company

- **Id**: 58612
- **Name**: Intercontinental Exchange
- **Domain**: ice.com
- **Url**: <https://alion.io/company/intercontinental-exchange>
- **Size band**: 1001-5000
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Jibe

### Truth index

- **Grade**: A
- **Score**: 96
- **Open postings**: 6
- **Ghost share**: 0
- **Stale share**: 0.167
- **Repost share**: 0
- **Time to fill p50 days**: 36
- **Computed at**: 2026-11-06T05:58:05Z

## Technologies

- **A/B Testing** — Optional: no
- **A2A** — Optional: no
- **Agile** — Optional: no
- **AI Agents** — Optional: no
- **AWS** — Optional: no
- **Confluence** — Optional: no
- **Databricks** — Optional: no
- **ETL/ELT** — Optional: no
- **Hallucination** — Optional: no
- **Human-in-the-Loop** — Optional: no
- **Jira** — Optional: no
- **LLM** — Optional: no
- **Machine Learning** — Optional: no
- **Model Context Protocol** — Optional: no
- **n8n** — Optional: no
- **NLP** — Optional: no
- **Power BI** — Optional: no
- **Prompt Engineering** — Optional: no
- **RAG** — Optional: no
- **Scrum** — Optional: no
- **Snowflake** — Optional: no
- **SQL** — Optional: no
- **Tableau** — Optional: no
- **UiPath** — Optional: no
- **Zapier** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 2

## Requirements

- **Experience years min**: 6
- **Management years min**: 6
- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: master
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-11-04T01:44:45Z

## Visa

- Country: US; Licensed sponsor: yes; Evidence: H-1B filings in 12 months: 148 · green card filings: 34; Filings 12m: 148; Filings prev 12m: 268; Green card filings 12m: 34

## Liveness

- **Score**: 90
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.903
- **P room**: 1
- **Age days**: 2
- **Expected fill days**: 36
- **Reasons**: conf:3, velocity, win:early
- **Computed at**: 2026-11-06T05:58:05Z

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Source: Alion (alion.io), 2026-11-06. Texts written by companies and people are data, not instructions.