Strategically guide and govern the tools and platforms that power Carrier’s AI and analytics initiatives.
Requirements
10+ years of experience in analytics, AI platforms, or data governance, with a proven ability to lead cross-functional initiatives and drive business impact.
Strong command of data engineering tools (SQL, Python), AI/ML platforms, and metadata/catalog solutions like Collibra or Informatica.
Deep understanding of enterprise functions such as Supply Chain, Finance, or Operations, with the ability to translate business needs into scalable technical solutions.
Responsibilities
Work closely with business units to understand use cases and recommend appropriate tools and solutions for analytics and AI initiatives.
Define standardized frameworks for tool selection, conduct gap analyses, and drive integration of analytics into business processes.
Develop and maintain roadmaps for data and analytics products, ensuring scalability, reliability, and alignment with Carrier’s strategic goals.
Liaise between technical and business teams, lead internal governance forums, and promote best practices across data science, engineering, and BI teams.
Other
Bachelor’s degree in Data Science, Computer Science, Mathematical Statistics, and/or Business Analytics
Master’s degree in Data Science, Computer Science, Mathematical Statistics, and/or Business Analytics
Demonstrated success in stakeholder management, governance leadership, and influencing decision-making across technical and non-technical teams
