Data Product Owner

Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies. Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients— that is what Vantive aspires to deliver.

We believe Vantive will not only build our leadership in the kidney care space, it will also offer meaningful work to those who join us. At Vantive, you will become part of a community of people who are focused, courageous and don't settle for the mediocre. Each of us is driven to help improve patients' lives worldwide. Join us in advancing our mission to extend lives and expand possibilities.

The Technical Data Product Owner is responsible for the strategy, development, and lifecycle management of data products within a global domain at Vantive (e.g., Supply Chain, Commercial, Corporate Functions, or Digital Product Innovation). This role bridges the gap between business needs and technical execution, ensuring that data products—including Data Warehouses, ETL/ELT pipelines, BI reporting, and analytics solutions—are aligned with strategic goals and deliver measurable value.

You will collaborate closely with business stakeholders, data engineers, visualization experts, and cross-functional IT teams to define and deliver high-impact data solutions. This role requires a strong technical foundation, deep understanding of Agile methodologies, and the ability to translate business requirements into scalable, high-quality data products.

Key Responsibilities:

• Develop and communicate a clear product vision, roadmap, and strategy for data products within the assigned domain.
• Collaborate with business stakeholders to understand strategic objectives, define data needs, and translate them into actionable product requirements.
• Own and manage the product backlog; define user stories, acceptance criteria, and prioritize features based on business value and technical feasibility.
• Lead Agile ceremonies including sprint planning, backlog grooming, and retrospectives; track team velocity and ensure continuous improvement.
• Provide hands-on guidance to delivery teams (data engineers, BI developers, QA) to ensure high-quality, scalable, and secure data solutions.
• Ensure timely delivery of data products that meet business expectations, technical standards, and compliance requirements.
• Partner with Data Governance, ERP, Enterprise Architecture, and Application Engineering teams to ensure data consistency, quality, and integration.
• Advocate for technical excellence and reusable, scalable data architecture across the organization.

Technical Skills:

• Strong understanding of data warehousing, ETL/ELT pipelines, and data modeling.
• Proficiency in SQL, Python, and data integration tools (e.g., DataStage).
• Experience with BI tools such as Power BI, Tableau, or Cognos.
• Familiarity with cloud platforms (Azure, AWS) and modern data architectures (e.g., data lakehouse, event-driven pipelines).
• Experience with Agile tools like Jira, Confluence
• Understanding of data governance, metadata management, and data quality frameworks.

Collaboration & Stakeholder Engagement:

• Act as the primary liaison between business units and technical teams, ensuring alignment on priorities and expectations.
• Facilitate workshops and discovery sessions to gather requirements and validate solutions.
• Communicate complex technical concepts in a clear, business-friendly manner.
• Build strong relationships with global stakeholders across business and IT functions.

Key Experiences & Attributes:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• 5+ years of experience working with business users to define functional and analytical requirements.
• 5+ years in a product owner, delivery lead, or team lead role within data and analytics.
• Proven experience in Agile delivery, including backlog management and sprint execution.
• Experience working with offshore development and QA teams.
• Strong communication, leadership, and problem-solving skills.
• Ability to thrive in a global, matrixed organization.

Reasonable Accommodation

Vantive is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Form Link

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