Senior Data Product Manager — Data Lakehouse & Analytics

Carrier; Tallahassee (FL); On-site; USD 118,000 - 235,000; Full time

Benefits offered by this job

Health Care Benefits

Retirement Benefits

Paid time off and holidays

Wellness incentives

Job summary

Carrier Global Corporation seeks a Data Product Manager to drive the delivery and adoption of data products across domains hosted on GCP. This role translates business needs into scalable, production‑ready data products and partners with cross‑functional teams to align with business priorities.

Responsibilities include end‑to‑end data product lifecycles for pricing, parts, and analytics, leading with an open lakehouse architecture, and ensuring data quality, governance, and measurable outcomes.

Qualifications

• Bachelor’s and Master’s degrees in relevant fields required.
• 10+ years leading end‑to‑end product management for data analytics and engineering.
• 5+ years in Data Engineering on Google Cloud Platform (GCP).

Responsibilities

• Lead discovery with stakeholders to define data product requirements and outcomes.
• Own end‑to‑end lifecycle of data products across domains on GCP.
• Guide cross‑functional teams through Agile delivery and architectural direction.
• Ensure data quality, lineage, governance, and scalable architectures.

Skills

End-to-end product management

Cross-functional leadership

Data modeling

Agile delivery

Education

Bachelor’s degree in Computer Science, Data Science, or Engineering

Master’s degree in computer science, Data Science, or Engineering

Tools

AWS

Snowflake

GCP

AI/ML capability

Job description

Carrier Global Corporation seeks a Data Product Manager to drive the delivery and adoption of data products across domains hosted on GCP. This role translates business needs into scalable, production‑ready data products and partners with cross‑functional teams to align with business priorities.

Responsibilities include end‑to‑end data product lifecycles for pricing, parts, and analytics, leading with an open lakehouse architecture, and ensuring data quality, governance, and measurable outcomes.