{"id":3718450,"url":"https://alion.io/job/intercontinental-exchange-ai-and-data-product-manager","title":"AI and Data Product Manager","company":{"id":58612,"name":"Intercontinental Exchange","domain":"ice.com","url":"https://alion.io/company/intercontinental-exchange","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"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":"2026-11-10T06:52:35Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"A2A","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Jira","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"n8n","optional":false},{"name":"NLP","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"UiPath","optional":false},{"name":"Zapier","optional":false}],"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":false,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Job Purpose\nIntercontinental 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.\nThis 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.\nResponsibilities\nMap and decompose existing business workflows end-to-end-identifying steps that are high-volume, high-variance, and verifiable-before deciding where AI belongs.\n\nReimagine processes around AI rather than bolting AI onto current steps, prioritizing opportunities by the principle of volume, variance, and verifiability.\n\nDefine and own the product vision, strategy, and multi-quarter roadmap for a portfolio of AI applications and data products aligned to business objectives.\n\nSize AI opportunities with conservative, evidence-based ROI assumptions, targeting tasks whose outputs can be reliably graded and avoiding “too much, too fast” over-commitment.\n\nPartner 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.\n\nDesign 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.\n\nArchitect human-in-the-loop workflows with expert review designed in, expanding automation only after each phase is proven.\n\nProductize ICE’s proprietary data assets into well-defined data products such as APIs, data feeds, datasets, dashboards, and embedded analytics.\n\nWrite clear product requirement documents (PRDs), user stories, and acceptance criteria; maintain and prioritize the product backlog within an Agile/Scrum environment.\n\nDefine success metrics and KPIs (adoption, task success rate, model performance, revenue, ROI) and use data to measure outcomes and continuously improve products.\n\nDrive change management and adoption-bridging data scientists and business owners and getting non-technical stakeholders to embrace AI-changed workflows.\n\nChampion responsible AI in partnership with data science, risk, and compliance: model governance, bias and fairness, explainability, model risk, and data quality.\n\nEnsure products meet regulatory and data-governance requirements relevant to mortgage and financial services (e.g., MISMO, FNMA, FHLMC, GNMA, and applicable privacy standards).\n\nCommunicate roadmap, trade-offs, progress, and results to cross-functional partners and executive leadership.\n\nKnowledge and Experience\n6+ years of product management experience, with demonstrated work building AI/ML-powered products, data products, or workflow-automation solutions (mid-level is the target tier).\nA demonstrable example of entering a domain cold, mapping its workflows, identifying AI leverage points, and shipping something measurable-industry independent.\n\nStrong process-decomposition skills: the ability to map a workflow in detail and score steps by volume, variance, and verifiability.\n\nPractical AI literacy: working comprehension of LLMs, RAG, agents, prompt engineering, and evaluation design (you do not need to code or train models).\n\nEmpirical mindset: experience designing evals, blind reviews, A/B tests, and acceptance criteria, and iterating against evidence.\n\nData literacy, including comfort with SQL and analytics tools to define metrics and inform decisions.\n\nChange-management and stakeholder-translation experience getting non-technical teams to adopt new, AI-driven ways of working.\n\nAbility to recall specific metrics from products you have shipped (e.g., hallucination rate, retrieval precision, task success rate, latency).\n\nProven experience working in Agile/Scrum teams and managing a product backlog.\n\nExcellent written and oral communication, with the ability to explain probabilistic systems to both technical and non-technical audiences.\n\nPreferred Knowledge and Experience\nAdvanced degree (e.g., MBA) or product/Agile certification (e.g., Pragmatic Institute, CSPO, SAFe POPM).\n\nHands-on experience with at least one workflow or process platform-e.g., n8n, Zapier, Make, Workato, Celonis, UiPath.\n\nExperience launching generative AI / LLM-based or agentic products or features.\n\nBackground that develops process thinking before AI-operations management, management consulting, analytics/data, or growth/experimentation product management.\n\nFamiliarity with cloud platforms (e.g., AWS) and modern data warehouses such as Snowflake or Databricks.\n\nUnderstanding of human-in-the-loop design, model monitoring, drift detection, and responsible-AI frameworks.\n\nExposure to mortgage technology, capital markets, or financial services is helpful but not required.\n\nA computer science degree. Roughly 60% of working AI PMs do not hold one; demonstrated AI experience is the signal.\nThe ability to code or train models. Data literacy and AI comprehension are sufficient.\n\nPrior expertise in mortgage or financial services. Pattern transfer and rapid domain immersion matter more than industry credentials; domain knowledge can be borrowed empirically from practitioners.\n\nTechnical & Tool Familiarity\nAI/ML Concepts: LLMs, RAG, agents, prompt engineering, and evaluation metrics (precision, recall, F1, hallucination rate, task success rate, latency).\n\nAI Orchestration (Execution): UiPath Maestro, n8n; awareness of agent protocols such as MCP, A2A, and ACP.\n\nWorkflow Builders (Prototyping): Any of n8n, Zapier, Make, Workato.\n\nData Platforms: SQL, Snowflake, Databricks, Spark; data pipelines and ETL concepts.\n\nCloud: AWS (or comparable cloud environments).\n\nVisualization & BI: SIGMA, Tableau, Microsoft Power BI.\n\nProduct & Delivery: Jira, Confluence, Productboard; product analytics.\n\n Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.","description_format":"text","description_chars":6700,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":6,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Stock Exchanges & Market Infrastructure"],"lifecycle":[{"event":"open","at":"2026-11-04T01:44:45Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 168 · green card filings: 42","filings_12m":168,"filings_prev_12m":325,"green_card_filings_12m":42,"median_offered_wage_usd":119000,"route":null,"cap_exempt":false,"checked_at":"2026-11-10T11:34:35+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":9}],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":0.9,"p_active":0.903,"p_room":1,"age_days":6,"expected_fill_days":36,"reasons":["conf:93","velocity","win:early"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/intercontinental-exchange-ai-and-data-product-manager","json_url":"https://alion.io/job/intercontinental-exchange-ai-and-data-product-manager.json","meta":{"generated_at":"2026-11-10T17:50:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7055,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58612},"rest":"https://alion.io/mcp/rest/get_company?id=58612"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintercontinental-exchange-ai-and-data-product-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fintercontinental-exchange-ai-and-data-product-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fintercontinental-exchange-ai-and-data-product-manager"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/intercontinental-exchange-ai-and-data-product-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintercontinental-exchange-ai-and-data-product-manager"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3718450}},{"tool":"search_jobs","arguments":{"company":"ice.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3718450},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}