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Enterprise Data Product Manager

Dahl ConsultingUnited States🇺🇸United StatesPosted 14 Sept 2026

Why This Role Stands Out

This hybrid Enterprise Data Product Manager role offers a competitive hourly rate and the chance to shape critical data products for a leading retail organization, driving impactful insights across millions of customers. You'll thrive here if you're a product leader experienced in enterprise data or analytics, eager to collaborate with diverse teams to deliver scalable data solutions. This is an excellent opportunity to advance your career in a dynamic environment.

Quick Overview

Salary
$71 - $90/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
AgileContinuous ImprovementStakeholder Management

Job Description

Title: Enterprise Data Product Manager
Location: Remote
Job Type: Contract (9 months)
Compensation: $71.00 - $90.00 per hour (W2)
Industry: Retail

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About the Role
Our firm is recruiting on behalf of a leading Fortune 50 retail and consumer-focused organization that serves millions of customers through a highly sophisticated digital, supply chain, and enterprise data ecosystem.
We are seeking an experienced Enterprise Data Product Manager to lead the strategy, development, and optimization of enterprise data products that drive trusted, accessible, and actionable insights across the organization. This position is ideal for a product leader who has directly owned enterprise data, analytics, or data platform products and can effectively bridge business objectives with technical and data capabilities.
The successful candidate will partner with engineering, analytics, data architecture, governance, and business teams to deliver scalable data solutions that create measurable business value.
Job Description
As an Enterprise Data Product Manager, you will own the end-to-end lifecycle of enterprise data products, from discovery and strategy through delivery, adoption, measurement, and continuous improvement. You will work closely with cross-functional stakeholders to define product vision, prioritize initiatives, and ensure enterprise data products meet business needs while maintaining data quality and governance standards.
Key Responsibilities
  • Own the full lifecycle of enterprise data products, including strategy, planning, development, launch, adoption, and optimization.
  • Define product vision, roadmaps, priorities, success metrics, and business outcomes.
  • Partner with business and technical stakeholders to identify opportunities and prioritize product investments.
  • Translate business requirements into user stories, acceptance criteria, and prioritized product backlogs.
  • Utilize SQL and data analysis to validate requirements, investigate issues, evaluate performance, and support product decisions.
  • Incorporate data management principles, including data quality, governance, metadata, lineage, definitions, and lifecycle management into product planning.
  • Collaborate with Engineering, Data Architecture, Analytics, Data Governance, and business teams to deliver scalable and reliable enterprise data solutions.
  • Manage dependencies, timelines, risks, and stakeholder expectations across multiple teams and initiatives.
  • Define and track KPIs that measure product adoption, performance, and business impact.
  • Drive continuous product improvement through user feedback, business priorities, and data-driven insights.
  • Communicate product strategy, progress, priorities, and trade-offs to both technical and non-technical audiences.
Qualifications
Required
  • 5+ years of Product Management experience with ownership of enterprise data, analytics, or data platform products.
  • Proven experience managing products through the full lifecycle, including discovery, roadmap development, delivery, launch, adoption, and optimization.
  • Hands-on SQL experience for data analysis, validation, troubleshooting, and product decision-making.
  • Strong experience defining product strategy, roadmaps, KPIs, and measurable business outcomes.
  • Ability to translate business needs into requirements, user stories, acceptance criteria, and prioritized backlogs.
  • Knowledge of enterprise data management concepts, including data quality, governance, metadata, lineage, data definitions, and lifecycle management.
  • Experience partnering with Engineering, Data Architecture, Analytics, Data Governance, and business stakeholders.
  • Experience working in Agile environments, including backlog management, sprint planning, prioritization, and cross-team delivery.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Demonstrated ability to influence cross-functional teams and lead initiatives without direct authority.
Preferred
  • Experience with cloud and enterprise data platforms, such as GCP, Snowflake, Databricks, or similar technologies.
  • Experience with BI and data visualization tools, including Power BI, Tableau, Looker, or equivalent platforms.
  • Experience supporting enterprise data products used across multiple business functions.
  • Experience working in large, complex enterprise environments with multiple data sources, systems, and stakeholder groups.
  • Experience with enterprise data warehousing, analytics, and reporting solutions.
Benefits
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/.
How to Apply
Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps!
Equal Opportunity Statement
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!

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