Remote Data Product Manager - Manufacturing Analytics

Eliassen Group; Sacramento (CA); 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 for manufacturing to partner with GCP teams and business stakeholders. This remote, contract‑to‑hire role owns end‑to‑end data product lifecycle on GCP, shaping discovery, roadmaps, and measurable value realization across pricing, parts availability, and analytics.

The leader will guide data engineering and architecture practices, translate business needs into technical specs and value‑focused backlogs, and collaborate across commercial,

Qualifications

• 8–15 years in manufacturing 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

• Lead delivery with GCP teams to shape solution approaches, delivery plans, and adoption strategies.
• Lead discovery with stakeholders to define requirements and outcomes.
• Translate business needs into technical specifications, roadmaps, and value‑focused product backlogs.
• Build relationships with customer stakeholders for 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

SQL

Python

Agile delivery

Data governance

Data modeling

Stakeholder collaboration

Education

Bachelor's in Computer Science, Data Science, or Engineering

Master's in Computer Science, Data Science, or Engineering

Tools

AWS

Snowflake

ETL/ELT frameworks

Job description

Eliassen Group is seeking a senior data product leader for manufacturing to partner with GCP teams and business stakeholders. This remote, contract‑to‑hire role owns end‑to‑end data product lifecycle on GCP, shaping discovery, roadmaps, and measurable value realization across pricing, parts availability, and analytics.

The leader will guide data engineering and architecture practices, translate business needs into technical specs and value‑focused backlogs, and collaborate across commercial,