Data Product Manager (Manufacturing)

Eliassen Group; United States; 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 is seeking a senior data product leader to partner with GCP teams and business stakeholders across commercial and operations, shaping data product roadmaps and adoption strategies. You will own end‑to‑end data products on GCP, including discovery, delivery, and measurable value realization for pricing, parts, segmentation, and analytics.

You will guide data engineering and architecture practices, drive medallion and open lakehouse designs, ensure data quality and governance, and

Qualifications

• 8–15 years of manufacturing industry experience with deep understanding of data flows in manufacturing.
• Bachelor’s in Computer Science, Data Science, or Engineering and 12+ years leading end-to-end product management for data analytics and engineering, including roadmap execution and data model development, or
• Master’s in Computer Science, Data Science, or Engineering and 10+ years leading end-to-end product management for data analytics and engineering, including roadmap execution and data model development.
• 5+ years in Data Engineering on GCP, including open lakehouse architectures and medallion‑based data products.
• Experience with AWS and Snowflake. Familiarity with GCP AI/ML capabilities.
• Proficiency in SQL, Python, and modern ETL/ELT frameworks.
• Knowledge of data governance, data quality, lineage, cataloging, metadata, and access controls.
• Experience integrating and modeling data from enterprise systems including SAP.
• Understanding of commercial and operational analytics, KPIs, funnel metrics, pricing structures, customer lifecycle analytics, and performance measurement.
• Familiarity with ML workflows, AI‑enabled data solutions, and MLOps.
• Ability to translate business objectives into data product requirements across multiple functional areas.
• Proven leadership of cross‑functional initiatives with effective communication to business and technical audiences.
• Must have unrestricted authorization to work in the USA.

Responsibilities

• Serve as primary delivery partner supporting GCP teams to shape solution approaches, delivery plans, and adoption strategies.
• Lead discovery with stakeholders in parts, pricing, sales operations, marketing, service, and analytics to define requirements and 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 value realization.
• Own end‑to‑end lifecycle of GCP‑hosted data products for pricing optimization, parts insights, lead scoring, external enrichment, segmentation, and performance analytics.
• Prioritize features based on business value, feasibility, and customer impact.
• Lead cross‑functional Agile delivery teams of data engineers, analysts, platform engineers, and SMEs.
• Ensure medallion architecture principles for quality, scalability, and reuse.
• Oversee design and development of pipelines, transformations, and models using SQL, Python, and modern ETL/ELT.
• Lead implementation of open lakehouse architectures for structured, semi‑structured, and unstructured data.
• Establish data quality, lineage, metadata, and governance practices.
• Support integration of CRM, ERP/SAP, pricing systems, parts catalogs, marketing platforms, and external providers.
• Partner across commercial, operational, customer success, and engineering teams for alignment and adoption.
• Communicate progress, risks, and outcomes to stakeholders.
• Support pre‑sales and solution shaping to validate feasibility and architecture.

Skills

GCP

Data engineering

Open lakehouse

Medallion architecture

SQL

Python

ETL/ELT

Data governance

Data quality

Data modeling

MLOps

Leadership

Stakeholder communication

Education

Bachelor's in Computer Science/Engineering/Data Science

Master's in Computer Science/Engineering/Data Science

Tools

GCP

AWS

Snowflake

SAP

CRM systems

ERP systems

Job description

Description

Remote

Our client seeks a senior data product leader to partner with GCP teams and business stakeholders to shape solution approaches, delivery plans, and adoption strategies across commercial and operational domains. The role owns end-to-end data product lifecycle on GCP, including discovery, roadmap definition, Agile delivery, and measurable value realization for use cases such as pricing optimization, parts availability, lead scoring, external data enrichment, customer segmentation, and commercial performance analytics. The leader will guide data engineering and architecture practices including medallion architecture, open lakehouse design, data quality, lineage, and governance while partnering cross-functionally across commercial, operations, customer success, engineering, and analytics. Candidates should bring manufacturing domain experience and the ability to translate business needs into technical specifications and value‑focused product backlogs.

This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $80.00/hr. w2

Responsibilities

• Serve as primary delivery partner supporting GCP teams to shape solution approaches, delivery plans, and adoption strategies.
• Lead discovery with stakeholders in parts, pricing, sales operations, marketing, service, and analytics to define requirements and 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 value realization.
• Own end‑to‑end lifecycle of GCP‑hosted data products for pricing optimization, parts insights, lead scoring, external enrichment, segmentation, and performance analytics.
• Prioritize features based on business value, feasibility, and customer impact.
• Lead cross‑functional Agile delivery teams of data engineers, analysts, platform engineers, and SMEs.
• Ensure medallion architecture principles for quality, scalability, and reuse.
• Oversee design and development of pipelines, transformations, and models using SQL, Python, and modern ETL/ELT.
• Lead implementation of open lakehouse architectures for structured, semi‑structured, and unstructured data.
• Establish data quality, lineage, metadata, and governance practices.
• Support integration of CRM, ERP/SAP, pricing systems, parts catalogs, marketing platforms, and external providers.
• Partner across commercial, operational, customer success, and engineering teams for alignment and adoption.
• Communicate progress, risks, and outcomes to stakeholders.
• Support pre‑sales and solution shaping to validate feasibility and architecture.

Experience Requirements

• 8–15 years of manufacturing industry experience with deep understanding of data flows in manufacturing.
• Bachelor’s in Computer Science, Data Science, or Engineering and 12+ years leading end‑to‑end product management for data analytics and engineering, including roadmap execution and data model development, or
• Master’s in Computer Science, Data Science, or Engineering and 10+ years leading end‑to‑end product management for data analytics and engineering, including roadmap execution and data model development.
• 5+ years in Data Engineering on GCP, including open lakehouse architectures and medallion‑based data products.
• Experience with AWS and Snowflake. Familiarity with GCP AI/ML capabilities.
• Proficiency in SQL, Python, and modern ETL/ELT frameworks.
• Knowledge of data governance, data quality, lineage, cataloging, metadata, and access controls.
• Experience integrating and modeling data from enterprise systems including SAP.
• Understanding of commercial and operational analytics, KPIs, funnel metrics, pricing structures, customer lifecycle analytics, and performance measurement.
• Familiarity with ML workflows, AI‑enabled data solutions, and MLOps.
• Ability to translate business objectives into data product requirements across multiple functional areas.
• Proven leadership of cross‑functional initiatives with effective communication to business and technical audiences.
• Must have unrestricted authorization to work in the USA.

Education Requirements

• Bachelor’s degree in Computer Science, Data Science, or Engineering, or Master’s degree in these disciplines.