Note: The job is a remote job and is open to candidates in USA. Carrier is a global provider of intelligent climate and energy solutions. The Senior Data Product Manager will drive the delivery, adoption, and long-term value of GCP-hosted data products across commercial and operational domains, while translating business objectives into scalable, production-ready solutions. The role leads cross-functional teams, oversees data engineering and lakehouse architecture, and ensures data quality, governance, and alignment with enterprise priorities.
Responsibilities
- Serve as the primary delivery partner supporting GCP teams in shaping solution approaches, delivery plans, and customer adoption strategies across commercial and operational domains
- Lead discovery sessions with stakeholders in parts, pricing, sales operations, marketing, service, and analytics to define data product requirements and measurable outcomes
- Translate business needs into technical specifications, delivery roadmaps, and value‑focused product backlogs
- Build strong relationships with customer stakeholders to ensure alignment, transparency, and sustained value realization
- Own the end‑to‑end lifecycle of data products supporting use cases such as pricing optimization, parts availability insights, lead scoring, external data enrichment, customer segmentation, and commercial performance analytics
- Prioritize features and enhancements based on business value, feasibility, and customer impact
- Lead cross-functional delivery teams—including data engineers, analysts, platform engineers, and SMEs—through Agile execution
- Ensure data products follow medallion architecture principles (bronze/silver/gold) for quality, scalability, and reusability
- Oversee the design and development of data pipelines, transformations, and models using SQL, Python, and modern ETL/ELT frameworks
- Lead the implementation of open lake house architectures capable of supporting structured, semi‑structured, and unstructured data
- Ensure strong data quality, lineage, metadata management, and governance practices across all delivered products
- Support integration of diverse data sources including CRM, ERP/SAP, pricing systems, parts catalogs, marketing platforms, and external data providers
- Partner with commercial, operational, customer success, and engineering teams to ensure alignment across strategy, delivery, and adoption
- Communicate progress, risks, and outcomes to internal and external stakeholders
- Support pre-sales and solution‑shaping conversations when needed to validate delivery feasibility and architectural direction
Skills
- Bachelor's degree in computer science, Data Science, or Engineering
- 12 + years of experience in leading end-to-end product management, collaborating with cross-functional stakeholders, and delivering production-grade data analytics and data engineering solutions, including product roadmap execution and data model development
- Master's degree in computer science, Data Science, or Engineering
- 10+ years leading end-to-end product management, collaborating with cross-functional stakeholders, and delivering production-grade data analytics and data engineering solutions, including product roadmap execution and data model development
- 5+ years of experience in Data Engineering on Google Cloud Platform (GCP), including the design, development, and implementation of open lakehouse architectures and medallion-based data products
- Must have unrestricted authorization to work in the USA. No visa sponsoring available
- Experience with cloud platforms AWS, Snowflake; familiarity with GCP AI/ML capability
- Proficiency in SQL, Python, and modern ETL/ELT frameworks for building and supporting scalable data solutions
- Knowledge of data governance principles, including data quality, lineage, cataloging, metadata management, and access controls
- Experience integrating, modeling, and transforming data from enterprise systems, including ERP platforms such as SAP
- Understanding of commercial and operational analytics, including KPIs, funnel metrics, pricing structures, customer lifecycle analytics, and performance measurement
- Familiarity with machine learning workflows, AI-enabled data solutions, and MLOps practices
- Ability to translate business objectives into data product requirements and deliver solutions across multiple functional areas
- Experience leading cross-functional initiatives, engaging stakeholders, prioritizing multiple workstreams, and communicating effectively with both business and technical audiences
Benefits
- Short-term cash incentives, subject to plan requirements
- Medical, Dental, Vision; Wellness incentives
- Retirement Benefits
- 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
- Short-term and long-term disability
- Life Insurance and Accidental Death and Dismemberment
- Health Savings Account
- Health Care Spending Account
- Dependent Care Spending Account
- Tuition Assistance
- Remote work
Company Overview