Data Product Owner (DPO)

  • New York City, NY
  • Posted 2 days ago | Updated moments ago

Overview

On Site
Full Time

Skills

Employment Authorization
Business Acumen
Data Management
Bridging
Product Strategy
Roadmaps
Collaboration
Marketing
User Stories
Ideation
Data Integrity
Data Quality
Product Development
Sprint
UPS
Reporting
Leadership
Decision-making
Business Data
Science
Computer Science
Product Ownership
Business Analysis
Product Management
DTC
Management
Dashboard
Data Engineering
Analytics
Data Architecture
SQL
Extract
Transform
Load
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Microsoft Office
Microsoft Excel
Microsoft PowerPoint
Soft Skills
Agile
Scrum
Communication
Stakeholder Management
Documentation
Data Governance
Regulatory Compliance

Job Details

Job Title: Data Product Owner (DPO)
Domain Needed: Fan Engagement/DTC/Sports Industry
Location: Onsite NYC, NY
Type: Full Time Role (No C2C/W2/C2H/1099)

Work Authorization: This role is not eligible for company sponsorship now or in future

About the Role

We are seeking a highly motivated and experienced Data Product Owner (DPO) with a strong blend of business acumen, product/data management expertise, and a passion for fan engagement, DTC, and the sports industry. As a DPO, you will play a key role in bridging the gap between business stakeholders and technical teams, translating complex analytics needs into actionable deliverables and driving the development of impactful data products.

This role requires a strategic thinker, a clear communicator, and someone who thrives in a dynamic, cross-functional, and Agile environment.

Key Responsibilities:

  • Own the Data Product Vision & Roadmap:
    Define and manage the data product strategy aligned with organizational goals. Create and maintain a clear roadmap that balances business value with technical feasibility.
  • Act as the Business-Data Liaison:
    Translate complex business requirements into clear data and analytics deliverables. Work closely with business stakeholders to understand needs and ensure alignment throughout the product lifecycle.
  • Drive Cross-Functional Collaboration:
    Partner with internal teams (engineering, analytics, marketing, etc.) and external stakeholders (clubs, partners) to ensure end-to-end delivery of data products.
  • Manage Product Lifecycle:
    Lead backlog refinement, prioritize features and user stories, and oversee execution from ideation through deployment and iteration.
  • Ensure Data Integrity & Governance:
    Champion best practices around data quality, governance, and compliance across the product development lifecycle.
  • Facilitate Agile Execution:
    Lead Agile ceremonies (e.g., sprint planning, stand-ups, retrospectives) and continuously drive improvements in team processes and communication.
  • Prepare Executive Reporting:
    Create and deliver concise, impactful updates and documentation for senior leadership and stakeholders.
  • Promote Data Literacy & Evangelize Use:
    Act as a data product evangelist, supporting data-driven decision-making and improving stakeholder understanding of the value of data products.

Qualifications:

  • Education:
    Bachelor's degree in Business, Data Science, Computer Science, or a related field.
  • Experience:
    • 8+ years of experience in product ownership, business analysis, or data product management roles.
    • Strong understanding of the sports, fan engagement, or DTC industries.
    • Demonstrated success managing the delivery of data platforms, ETL pipelines, dashboards, or similar analytics solutions.
  • Technical Skills:
    • Solid understanding of data engineering, analytics, and data architecture concepts.
    • Familiarity with SQL, ETL tools, and cloud data platforms (e.g., AWS, Google Cloud Platform, Azure) is a plus.
    • Proficiency in MS Office Suite, especially Excel and PowerPoint.
  • Methodologies & Soft Skills:
    • Strong Agile/Scrum experience.
    • Excellent communication, stakeholder management, and documentation skills.
    • Experience working closely with Business Analysts, Data Analysts, and Data Engineers.
    • Knowledge of data governance and compliance frameworks is a plus.
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