Senior Product Manager- Artificial Intelligence and Data Solutions
Job Number: 11023
External Description:
About This Role
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.
Key Responsibilities
Product Strategy & Roadmap Ownership
- 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
- Executive Engagement & Stakeholder Leadership
- 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
AI / Analytics Product Delivery
- 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
Scale, Adoption & Value Realization
- 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
Leadership Mindset & Ways of Working
- 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
Required Qualifications
- 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
- This role can work anywhere in the US
Preferred Qualifications
- 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
Job Number: 30209108
Community / Marketing Title: Senior Product Manager- Artificial Intelligence and Data Solutions
Location_formattedLocationLong: Florida, US