Remote Data Product Lead – Manufacturing (GCP)

Eliassen Group; Washington (District of Columbia); Remote; USD 96,000 - 110,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group seeks a senior Data Product Manager to own end-to-end data product lifecycle on GCP across manufacturing domains. You will drive discovery, roadmaps, and Agile delivery while ensuring data quality, governance, and value realization across pricing, parts availability, and analytics.

Remote, contract-to-hire with W2 benefits; strong collaboration with data engineering and business stakeholders is essential to translate needs into actionable backlogs and measurable outcomes.

Qualifications

• 8–15 years of manufacturing industry experience with data flows understanding.
• 12+ years leading end-to-end data analytics/product management with roadmap execution.
• 5+ years in Data Engineering on GCP with open lakehouse architectures.

Responsibilities

• Lead end-to-end lifecycle of GCP-hosted data products for pricing, parts, and analytics.
• Shape solution approaches, delivery plans, and adoption strategies with stakeholders.
• Translate business needs into technical specs and value-focused backlogs; guide cross-functional teams.

Skills

GCP

Data products

SQL

Python

ETL/ELT

Data governance

Open lakehouse

Medallion architecture

Stakeholder management

Agile delivery

Education

Bachelor's in Computer Science/Data Science/Engineering

Master's in Computer Science/Data Science/Engineering

Tools

GCP

Snowflake

SQL

Python

Job description

Eliassen Group seeks a senior Data Product Manager to own end-to-end data product lifecycle on GCP across manufacturing domains. You will drive discovery, roadmaps, and Agile delivery while ensuring data quality, governance, and value realization across pricing, parts availability, and analytics.

Remote, contract-to-hire with W2 benefits; strong collaboration with data engineering and business stakeholders is essential to translate needs into actionable backlogs and measurable outcomes.