Senior Product Manager – Artificial Intelligence, Data Solutions

🔥 23 minutes ago

🐊 Florida – Remote

🐊 Florida – Remote

💵 $117.5k - $234.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Carrier

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1915

🏗️ Construction

🏥 Healthcare

📦 Logistics

Construction • Healthcare • Logistics

Carrier is a global leader in building and cold chain solutions, dedicated to innovation in creating healthy, safe, sustainable, and intelligent environments. The company is involved in HVAC and refrigeration systems and focuses on promoting the health and safety of indoor spaces and preserving the global supply of food and medicine through its advanced technologies. Carrier is also committed to addressing climate change and collaborates with partners to drive sustainability and energy efficiency in infrastructure. By exploring smart building solutions and energy resiliency, Carrier is making strides towards a net zero future.

📋 Description

• 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

• 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

• 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