Senior Product Manager- Artificial Intelligence and Data Solutions

Carrier • CAFLO: Carrier-Home Florida Remote Location, Remote City, FL, 33412 USA, FL

19d • $117,500 - $234,500 • Remote

About The Position

The Product Manager – AI / Analytics will play a critical role in shaping and delivering Carrier’s next generation of analytics, AI/ML, GenAI, and Agentic AI products. This role partners closely with executive stakeholders, engineering, data science, and analytics teams to define strategy, prioritize investments, and deliver scalable AI-powered products that drive measurable business outcomes.
This leader will own the product vision and roadmap end-to-end, lead delivery across globally distributed teams, and serve as a trusted partner to senior business leaders. The ideal candidate brings a strong analytics background, deep understanding of modern AI capabilities, and a bias toward action—moving quickly from concept to value while designing solutions that scale across the enterprise.

Requirements

• High School Diploma or GED with 10+ years of experience in analytics, data, or AI product management
• 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
• This role can work anywhere in the US

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior