AI-Powered Data Product Manager

Intercontinental Exchange Holdings, Inc.; Atlanta (GA); On-site; USD 130,000 - 190,000; Full time

Job summary

Intercontinental Exchange, Inc. is seeking an AI and Data Product Manager to lead the transformation of workflows by building AI-focused data products and applications. This role spans business operations, data science, ML engineering, and client needs, delivering AI-driven insights in a scalable, responsible way.

You will decompose processes, define strategy, and partner with data teams to ship production-grade AI solutions while ensuring governance and regulatory alignment.

Qualifications

• 6+ years of product management experience, with demonstrated work building AI/ML-powered products, data products, or workflow-automation solutions.
• A demonstrable example of entering a domain cold, mapping its workflows, identifying AI leverage points, and shipping something measurable—industry independent.
• Strong process-decomposition skills: the ability to map a workflow in detail and score steps by volume, variance, and verifiability.
• Practical AI literacy: working comprehension of LLMs, RAG, agents, prompt engineering, and evaluation design (you do not need to code or train models).
• Empirical mindset: experience designing evals, blind reviews, A/B tests, and acceptance criteria, and iterating against evidence.
• Data literacy, including comfort with SQL and analytics tools to define metrics and inform decisions.
• Change-management and stakeholder-translation experience getting non-technical teams to adopt new, AI-driven ways of working.
• Ability to recall specific metrics from products you have shipped (e.g., hallucination rate, retrieval precision, task success rate, latency).
• Proven experience working in Agile/Scrum teams and managing a product backlog.
• Excellent written and oral communication, with the ability to explain probabilistic systems to both technical and non-technical audiences.

Responsibilities

• Map and decompose existing business workflows end-to-end—identifying steps that are high-volume, high-variance, and verifiable.
• Reimagine processes around AI rather than bolting AI onto current steps.
• Define and own the product vision, strategy, and multi-quarter roadmap for AI applications and data products.
• Size AI opportunities with conservative, evidence-based ROI assumptions.
• Partner closely with data science and ML engineering to translate models into reliable, production-grade products.
• Design evaluation criteria and acceptance thresholds; establish evals, blind review panels, and LLM-as-judge methods, and monitor for hallucination, bias drift, and model degradation in production.
• Architect human-in-the-loop workflows with expert review designed in, expanding automation only after each phase is proven.
• Productize ICE’s proprietary data assets into well-defined data products such as APIs, data feeds, datasets, dashboards, and embedded analytics.
• Write clear product requirement documents (PRDs), user stories, and acceptance criteria; maintain and prioritize the product backlog within an Agile/Scrum environment.
• Define success metrics and KPIs (adoption, task success rate, model performance, revenue, ROI) and use data to measure outcomes and continuously improve products.
• Drive change management and adoption—bridging data scientists and business owners and getting non-technical stakeholders to embrace AI-changed workflows.
• Champion responsible AI in partnership with data science, risk, and compliance: model governance, bias and fairness, explainability, model risk, and data quality.
• Ensure products meet regulatory and data-governance requirements relevant to mortgage and financial services (e.g., MISMO, FNMA, FHLMC, GNMA, and applicable privacy standards).
• Communicate roadmap, trade-offs, progress, and results to cross-functional partners and executive leadership.

Skills

AI/ML products

Workflow decomposition

Data literacy

SQL

Agile/Scrum

Stakeholder management

Product strategy

Education

MBA preferred

Computer science degree

Tools

n8n

Zapier

Make

Workato

Celonis

UiPath

Snowflake

Databricks

Tableau

Power BI

Jira

Confluence

Productboard

Job description

Intercontinental Exchange, Inc. is seeking an AI and Data Product Manager to lead the transformation of workflows by building AI-focused data products and applications. This role spans business operations, data science, ML engineering, and client needs, delivering AI-driven insights in a scalable, responsible way.

You will decompose processes, define strategy, and partner with data teams to ship production-grade AI solutions while ensuring governance and regulatory alignment.