Senior Product Manager – Artificial Intelligence, Data Solutions

Carrier

Product Manager overseeing AI and analytics solutions for Carrier Global Corporation. Leading strategy and execution for innovative AI products aligned with business goals.

Posted 7/24/2026full-timeRemote • Florida • 🇺🇸 United StatesSenior💰 $117,500 - $234,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining product vision and strategy for AI and analytics, with a strong focus on delivering high-impact solutions and driving cross-functional collaboration. Proven ability to manage product backlogs and lead teams in the delivery of AI/ML and Generative AI products while ensuring alignment with business goals and governance standards.

Highest-signal resume keywords

AI Product ManagementData AnalyticsBusiness IntelligenceAgile MethodologiesCross-Functional Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Solutions DeliveryData EngineeringAnalytics EngineeringGenAI SolutionsMLOpsLLMOpsProduct Backlog ManagementKPI MonitoringValue Hypothesis DevelopmentSuccess Metrics Definition

Soft Skills

Stakeholder InfluenceCollaborationAccountabilityEntrepreneurial MindsetChange Management

Tools & Technologies

SnowflakeDatabricksAWSPower BI

Industry Keywords

Supply ChainManufacturingServiceCommercialCorporate FunctionsAI GovernanceResponsible AIEnterprise Scale

Tech Stack

Tools & technologies

AWS

About the role

Key responsibilities & impact

Define and own the product vision, strategy, and multi-year roadmap for AI, analytics, GenAI, and Agentic AI products aligned to business priorities
Identify and prioritize high-impact use cases across domains such as Supply Chain, Manufacturing, Service, Commercial, and Corporate Functions
Develop compelling business cases, value hypotheses, and success metrics to guide investment decisions and measure outcomes
Drive executive-level business conversations, translating complex analytics and AI capabilities into clear value narratives and decisions
Act as a strategic partner to business leaders, ensuring AI and analytics products are tightly aligned to operational and strategic goals
Balance competing priorities across functions and regions, ensuring transparency, alignment, and strong governance
Lead cross-functional delivery teams spanning data engineering, analytics engineering, data science, ML engineering, and GenAI engineering, across multiple geographies
Own and manage the product backlog, ensuring well-defined epics, features, and user stories that deliver incremental value
Partner closely with engineering teams to guide solution design, trade-offs, and sequencing—ensuring speed, quality, and scalability
Drive delivery of: Advanced analytics and BI products, AI/ML models (predictive, prescriptive, optimization), GenAI solutions (e.g., copilots, knowledge assistants, summarization, Q&A), Agentic AI workflows that automate multi-step business processes with appropriate controls
Ensure products are designed for enterprise scale, reliability, security, and governance
Drive adoption and change management, embedding AI and analytics into business workflows
Monitor product performance using KPIs, user feedback, and business impact metrics; continuously refine roadmap based on outcomes
Partner with platform, architecture, and governance teams to align with enterprise standards and responsible AI practices
Lead with an entrepreneurial mindset—embracing ambiguity, experimenting quickly, and learning through iteration
Balance speed and innovation with disciplined product management and scalable architecture
Foster a culture of ownership, accountability, and collaboration across global teams

Requirements

What you’ll need

High School Diploma or GED with 10+ years of experience in analytics, data, or AI product management OR Bachelor’s degree with 5+ years of experience in analytics, data, or AI product management.
Must be a U.S. Citizen or U.S. Permanent Resident
Strong knowledge of data analytics, business intelligence, and modern data platforms
Demonstrated ability to partner with engineering and data science teams to deliver data and AI solutions
Proven ability to influence stakeholders and drive alignment across cross-functional teams
Familiarity with Agile and product-focused delivery methodologies
Hands-on involvement in the delivery of AI/ML, Generative AI, and Agentic AI solutions within enterprise environments
Working knowledge of modern data and AI technologies such as Snowflake, Databricks, AWS, and Power BI
Understanding of MLOps, LLMOps, AI governance, and responsible AI principles
Ability to lead product initiatives across distributed or global teams; industry knowledge in manufacturing, industrial, or HVAC environments is a plus

Benefits

Comp & perks

Health Care Benefits : Medical, Dental, Vision; Wellness incentives
Retirement Benefits
Time off and Leave : Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
Disability : Short-term and long-term disability
Life Insurance and Accidental Death and Dismemberment
Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
Tuition Assistance