Senior Product Manager- Artificial Intelligence and Data Solutions

Role Description

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.

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

Pay Range

The annual salary for this position is between $117,500.00 - $234,500.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate.

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