Sr. Product Manager, Data Science & Analytics, AI Product

Carrier Global Corporation, a global leader in intelligent climate and energy solutions, is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier.

Role Purpose:

The successful candidatewill have ownership of driving critical initiatives for AI products, interfacing with our leadership team to align on priorities, while providing guidance to the internal teams on AI strategy and delivery. Additionally, the candidate will deliver end-to-end AI solutions that will scale and empower our users to deliver on Carriers goals and mission.

Ideal Candidate will be within a commutable distance of Carrier’s office in Palm Beach Gardens, FL or Carrier’s office in Atlanta, GA.

Role Responsibilities:

• Define, develop, and maintain the product roadmap for AI-driven products in alignment with business goals.

• Collaborate with stakeholders to gather requirements, define use cases, and prioritize features to maximize value.

• Act as a liaison between business and technical teams, translating business needs into AI solutions.

• Work closely with data engineers, data scientists, and AI developers to ensure accurate implementation of AI solutions.

• Drive the integration of AI solutions into business processes, ensuring scalability and reliability.

• Monitor and evaluate product performance using KPIs, user feedback, and business impact metrics.

• Own the backlog for AI-related products, ensuring that user stories are well-defined, prioritized, and executed efficiently.

Basic Qualifications:

• Bachelors degree 

• 7+ years of experience in AI, machine learning, data, statistics, and/or analytics delivery roles.

• 3+ years SQL experience

Preferred Qualifications:

• Experience working with cloud-based AI platforms such as AWS, Google Cloud, or Azure.

• Proficiency in AI frameworks and tools (e.g., TensorFlow, PyTorch) and SQL.

• Experience at large companies with complex data landscapes and scale.

• Experience delivering scalable AI solutions, from ideation to deployment.

• Experience leading teams and managing individual contributors.

• Strong background in enterprise AI and technology principles and best practices.

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