Data Product Owner

The Intersect Group
United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence JIRA Cloud Computing Information Engineering Data Infrastructure Scrum Methodology Salesforce.Com Enterprise Data Management Snowflake Generative AI Data Strategy
+2 more
Data Management Data Delivery

Job description

We are seeking an experienced Data Product Owner to serve as the critical link between business stakeholders and the Data Engineering organization. This role is responsible for ensuring business needs are clearly defined, prioritized, and translated into actionable work that drives successful delivery across multiple data initiatives.

The Data Product Owner will work closely with Data Architects, engineering teams, business leaders, and offshore resources to manage requirements, maintain the product backlog, and drive alignment throughout the development lifecycle. This individual will play a key role in shaping the data roadmap, prioritizing deliverables, and ensuring solutions deliver measurable business value.

Key Responsibilities

  • Serve as the primary liaison between business stakeholders and Data Engineering teams

  • Gather, analyze, document, and validate business requirements across multiple data initiatives

  • Translate business requirements into detailed Epics, Features, and User Stories for engineering teams

  • Own, maintain, and prioritize the product backlog to align with business objectives and delivery timelines

  • Partner closely with Data Architects to ensure requirements are complete, accurate, and technically feasible

  • Lead backlog refinement, sprint planning, stakeholder reviews, and other Agile ceremonies

  • Coordinate with offshore development teams to support successful execution and delivery

  • Drive stakeholder alignment, requirement clarification, and acceptance criteria management throughout the project lifecycle, * Candidates located in the Atlanta area may occasionally attend onsite meetings approximately once per month

  • Collaborate with Data Architects, Scrum leadership, engineering teams, and business stakeholders across multiple initiatives

Why Join This Opportunity

  • Play a highly visible role influencing enterprise data strategy and delivery

  • Partner directly with business leaders and technical teams to drive meaningful outcomes

  • Help shape and prioritize critical data initiatives that impact the organization

  • Work within a collaborative Agile environment focused on innovation and continuous improvement

  • Gain exposure to modern data platforms, cloud technologies, and emerging AI driven solutions

Requirements

  • 7+ years of experience as a Data Product Owner, Product Owner, or Manager supporting Data Engineering teams and business stakeholders

  • Extensive experience working within Agile and Scrum environments with advanced Jira expertise

  • Strong understanding of Data Engineering concepts, data platforms, and data delivery processes

  • Proven experience gathering, documenting, prioritizing, and managing business requirements

  • Demonstrated ability to translate business needs into Epics, Features, User Stories, and strategic roadmaps

  • Experience partnering directly with Data Architects, Data Engineers, and cross functional business teams

  • Experience collaborating with offshore development teams in a distributed delivery model

  • Excellent communication, stakeholder management, prioritization, and relationship building skills

Preferred Qualifications

  • Experience within manufacturing environments

  • Knowledge of Snowflake or modern cloud based data platforms

  • Familiarity with Salesforce and related business processes

  • Experience supporting Procurement or Supply Chain initiatives

  • Exposure to Artificial Intelligence and Generative AI technologies

  • Previous leadership or team lead experience supporting enterprise data programs

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