AI-First Data Product Manager

ICE; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

ICE is seeking an AI and Data Product Manager to transform workflows by rebuilding them around AI, not just layering AI on top. You will own the strategy, roadmap, and delivery of AI-powered applications and data products, at the intersection of business operations, data science, ML engineering, and customers.

You will lead a highly visible effort to analyze mortgage and market data and deliver AI-driven insights to ICE clients in a meaningful, responsible, and scalable way.

Qualifications

• 6+ years of product management experience in AI/ML-powered products.
• Ability to enter unfamiliar domains, map workflows, and ship measurable results.
• Strong process-decomposition skills to map workflows by volume, variance, and verifiability.
• Practical AI literacy: understanding of LLMs, NLP, prompting, and evaluation design.
• Experience designing evals, blind reviews, A/B tests, and defining acceptance criteria.
• Data literacy with SQL and analytics tools to define metrics and guide decisions.
• Change management and stakeholder translation to drive adoption of AI-driven workflows.
• Ability to recall product metrics like hallucination rate, retrieval precision, task success, latency.
• Proven Agile/Scrum experience and managing a product backlog.
• Excellent written and verbal communication for 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- before deciding where AI belongs.
• Reimagine processes around AI rather than bolting AI onto current steps, prioritizing opportunities by the principle of volume, variance, and verifiability.
• Define and own the product vision, strategy, and multi-quarter roadmap for a portfolio of AI applications and data products aligned to business objectives.
• Size AI opportunities with conservative, evidence-based ROI assumptions, targeting tasks whose outputs can be reliably graded and avoiding "too much, too fast" over-commitment.
• Partner closely with data science and ML engineering to translate models—including predictive analytics, NLP, and LLM/generative AI and agentic solutions-into reliable, production-grade products.
• Design evaluation criteria and acceptance thresholds ("define good before building"); 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

PM experience

AI literacy

Domain immersion

Data literacy

Agile/Scrum

Stakeholder communication

Tools

SQL

Power BI

Snowflake

Databricks

AWS

Job description

ICE is seeking an AI and Data Product Manager to transform workflows by rebuilding them around AI, not just layering AI on top. You will own the strategy, roadmap, and delivery of AI-powered applications and data products, at the intersection of business operations, data science, ML engineering, and customers.

You will lead a highly visible effort to analyze mortgage and market data and deliver AI-driven insights to ICE clients in a meaningful, responsible, and scalable way.