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Data Product Owner

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in relevant field, 3+ years as a Product Owner, Background in data engineering or analytics, Experience with cloud platforms and tools, Strong knowledge of Agile methodology.

Key responsabilities:

  • Define product vision and roadmap
  • Prioritize product backlog for development
  • Engage with stakeholders for feedback
  • Oversee product development lifecycle
  • Ensure data product integrity and quality
GoHealth Urgent Care logo
GoHealth Urgent Care Large https://www.gohealthuc.com/
1001 - 5000 Employees
See more GoHealth Urgent Care offers

Job description

Description
Position at GoHealth Urgent Care

Data Product Owner at GoHealth Urgent Care
 
Location: Remote
 
About Us: GoHealth Urgent Care stands at the forefront of innovation in healthcare, offering personalized and technologically advanced care to our patients. Our mission is to revolutionize healthcare delivery through a data-driven approach, enhancing patient outcomes and operational efficiency. We are currently seeking a seasoned Senior Data Engineer to spearhead the development and optimization of our data infrastructure, embodying our commitment to quality care through data insights.
 
Role Overview: We are seeking a skilled Data Product Owner to lead the development and delivery of data-driven products. You will collaborate closely with stakeholders, data engineers, analysts, and business teams to ensure that the data products meet organizational goals and user needs. As a Data Product Owner, you will define the product vision, prioritize the product backlog, and ensure the successful execution of data initiatives that drive business insights and innovation.
 
Key Responsibilities:
 
  • Product Strategy & Vision:
    • Define and communicate the vision and roadmap for data products, aligning with overall business goals and stakeholder needs.
    • Collaborate with stakeholders to understand business objectives, user requirements, and product potential.
  • Backlog Management:
    • Prioritize the product backlog, ensuring the most valuable features and improvements are delivered first.
    • Break down high-level business requirements into detailed stories and actionable tasks for the development team.
    • Maintain and refine product backlogs in collaboration with the data engineering and analytics teams.
  • Stakeholder Engagement:
    • Serve as the primary point of contact between business stakeholders and the technical team, ensuring clear communication and alignment.
    • Conduct regular meetings with stakeholders to gather feedback, address issues, and adjust the product roadmap as needed.
  • Development Oversight:
    • Guide the data engineering and analytics teams through the product development lifecycle, from concept through delivery.
    • Ensure that products are developed according to specifications, within the timeline, and aligned with quality standards.
    • Collaborate with the team to refine acceptance criteria and review completed work to ensure it meets the definition of done.
  • Data Governance & Quality:
    • Ensure the integrity, accuracy, and accessibility of data products.
    • Develop and maintain data governance frameworks and policies in collaboration with relevant teams.
  • Market & User Research:
    • Conduct competitive analysis and market research to identify data product opportunities and gaps.
    • Engage with end users to gather feedback, identify pain points, and ensure the product is delivering value.
  • Product Metrics & Performance:
    • Define and track KPIs for data products, ensuring continuous improvement and optimization based on data insights.
    • Present performance reports to leadership, highlighting key metrics, opportunities, and potential risks.
  • Innovation & Improvement:
    • Stay up-to-date with industry trends in data science, analytics, and technology.
    • Identify and recommend new tools, technologies, and methodologies to enhance data products and processes.
 
Required Skills & Qualifications:
 
  • Education: Bachelor’s degree in Computer Science, Data Science, Information Technology, Business, or a related field. A Master’s degree is a plus.
  • Experience:
    • Proven experience (3+ years) as a Product Owner, Product Manager, or similar role in a data-driven environment.
    • Strong background in data engineering, data analytics, or data science.
    • Experience working with cloud platforms (e.g., AWS, Google Cloud, Snowflake) and data tools (e.g., SQL, ETL, BI tools).
  • Skills:
    • Strong knowledge of Agile methodology and experience managing product backlogs in Jira, Azure DevOps, or similar tools.
    • Excellent communication and leadership skills, with the ability to translate technical details into business terms.
    • Analytical mindset with the ability to interpret complex data and make data-driven decisions.
    • Familiarity with data governance, data security, and compliance best practices.
    • Strong stakeholder management skills, with experience working with cross-functional teams.
Preferred Qualifications:
  • Certification in Agile (e.g., Certified SAFe Product Owner/Product Manager) is a plus.
  • Experience working with data products or platforms like Snowflake, BigQuery, or Azure Data Lake.
  • Experience in data modeling, API management, and machine learning would be advantageous.
 
Why Join Us? At GoHealth Urgent Care, you’ll be part of a culture that values innovation, teamwork, and the continuous pursuit of excellence. We offer competitive compensation, comprehensive benefits, and opportunities for professional growth in a supportive and dynamic environment.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Leadership
  • Verbal Communication Skills
  • Analytical Thinking

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