Senior Product Manager- Artificial Intelligence and Data Solutions

About Carrier

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.

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

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.

Other Compensation

This position is entitled to short-term cash incentives, subject to plan requirements.

Benefits

Employees are eligible for benefits, including:

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

To learn more about our benefits offering, please click here Work with us | Carrier Corporate. The specific benefits available to any employee may vary depending on state and local laws and eligibility factors, such as date of hire and the applicability of collective bargaining agreements.

If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.

Application Deadline

Applications will be accepted for at least 3 days from Job Posting Date: 24 July 2026

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Use of AI

Technology-enabled tools may support parts of the recruitment process, with oversight by people.