Data Product Manager (Manufacturing)

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

Data Product Manager (Manufacturing)

Anywhere

Contract-to-Hire

Category: Product Management

Workplace Type: Remote

Standard Hours: Open

Reference ID: JN -092026-108440

Date Posted: 08/30/2026

Shortcut: http://careers.eliassen.com/RJHWuI

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

JN -092026-108440

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.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre‑tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked‑in state/locality.