Senior Product Manager – Artificial Intelligence, Data Solutions

🕒 Julho 24

🐊 Florida – Remoto

🐊 Florida – Remote

💵 $117.500 - $234.500 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Carrier

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1915

🏗️ Construção

🏥 Saúde

📦 Logística

Construction • Healthcare • Logistics

A Carrier é uma líder global em soluções de construção e cadeia de frio, dedicada à inovação na criação de ambientes saudáveis, seguros, sustentáveis e inteligentes. A empresa atua nos sistemas de HVAC e refrigeração, focando na promoção da saúde e segurança de ambientes internos e na preservação do fornecimento global de alimentos e medicamentos através de suas tecnologias avançadas. A Carrier também está comprometida em enfrentar as mudanças climáticas e colabora com parceiros para impulsionar a sustentabilidade e eficiência energética em infraestrutura. Ao explorar soluções de construção inteligente e resiliência energética, a Carrier está avançando em direção a um futuro de emissões zero.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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