Senior Data Product Manager

🕒 August 28

🐊 Florida – Remote

🐊 Florida – Remote

💵 $117.5k - $234.5k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Carrier

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1915

🏗️ Construction

🏥 Healthcare

📦 Logistics

Construction • Healthcare • Logistics

Carrier is a global leader in building and cold chain solutions, dedicated to innovation in creating healthy, safe, sustainable, and intelligent environments. The company is involved in HVAC and refrigeration systems and focuses on promoting the health and safety of indoor spaces and preserving the global supply of food and medicine through its advanced technologies. Carrier is also committed to addressing climate change and collaborates with partners to drive sustainability and energy efficiency in infrastructure. By exploring smart building solutions and energy resiliency, Carrier is making strides towards a net zero future.

📋 Description

• Drive successful delivery, adoption, and long-term value of data products across GCP-hosted data domains • Serve as primary delivery partner for GCP teams, shaping solution approaches, delivery plans, and customer adoption strategies • Lead discovery sessions with stakeholders across parts, pricing, sales operations, marketing, service, and analytics • Translate business needs into technical specifications, delivery roadmaps, and product backlogs • Build relationships with customer stakeholders to ensure alignment, transparency, and sustained value realization • Own the end-to-end lifecycle of data products for pricing optimization, parts availability, lead scoring, external data enrichment, customer segmentation, and commercial analytics • Prioritize features and enhancements based on business value, feasibility, and customer impact • Lead cross-functional Agile delivery teams of data engineers, analysts, platform engineers, and subject matter experts • Ensure data products follow bronze/silver/gold medallion architecture principles • Oversee data pipelines, transformations, and models using SQL, Python, and modern ETL/ELT frameworks • Lead implementation of open lakehouse architectures for structured, semi-structured, and unstructured data • Ensure data quality, lineage, metadata management, and governance • Support integration of CRM, ERP/SAP, pricing systems, parts catalogs, marketing platforms, and external data • Partner with commercial, operational, customer success, and engineering teams on strategy, delivery, and adoption • Communicate progress, risks, and outcomes to internal and external stakeholders • Support pre-sales and solution-shaping conversations to validate delivery feasibility and architecture

🎯 Requirements

• Bachelor’s degree in computer science, Data Science, or Engineering and 12+ years of experience in end-to-end product management and production-grade data analytics/data engineering solutions; OR Master’s degree in computer science, Data Science, or Engineering and 10+ years of such experience • 5+ years of experience in Data Engineering on Google Cloud Platform (GCP) • Experience designing, developing, and implementing open lakehouse architectures and medallion-based data products • Must have unrestricted authorization to work in the USA • No visa sponsoring available • Preferred: experience with AWS and Snowflake; familiarity with GCP AI/ML capability • Preferred: proficiency in SQL, Python, and modern ETL/ELT frameworks • Preferred: knowledge of data governance, data quality, lineage, cataloging, metadata management, and access controls • Preferred: experience integrating, modeling, and transforming data from enterprise systems such as SAP • Preferred: understanding of commercial and operational analytics, KPIs, funnel metrics, pricing structures, customer lifecycle analytics, and performance measurement • Preferred: familiarity with machine learning workflows, AI-enabled data solutions, and MLOps practices • Preferred: ability to translate business objectives into data product requirements across multiple functional areas • Preferred: experience leading cross-functional initiatives, prioritizing workstreams, and communicating with business and technical audiences

🏖️ Benefits

• Short-term cash incentives, subject to plan requirements • Medical, dental, and vision benefits • 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