Technical Product Owner (Data Platforms) | 100% Remote
Company: Nuvolar Works
Location: Barcelona, Catalonia (Remote)
Type: Full-time
Level: Senior
Remote: Yes
Posted: 2026-02-26
About this role
📍
Location:
Remote
📈
Level:
Mid
🔗
Type:
Full-time
At
Nuvolar
, we're driven by purpose, integrity, and the pursuit of excellence. With 100+ team members and over 14 years of experience, we foster a collaborative culture that encourages professional growth and personal well-being.
We're looking for a
Technical
Product Owner
to join a strategic data transformation program for a
global healthcare
client, focused on
unifying complex data ecosystems and enabling better clinical and operational insights
. You'll play a key role in ensuring that each release delivers real value by helping transform fragmented medical and diagnostic data into a cohesive, scalable data platform. This role goes beyond backlog management; it's about aligning technology, data, and business goals to support innovation in healthcare and patient outcomes.
🧠
What You'll Do
Your main responsibilities will include:
- Own and evolve the product roadmap, aligning it with business strategy and customer needs.
- Translate business requirements into clear epics, user stories, and acceptance criteria.
- Manage and prioritize the product backlog to ensure continuous value delivery.
- Collaborate with Data Engineering, BI, QA, and Governance teams across the full product lifecycle.
- Drive data-driven product decisions
using analytics and stakeholder insights.
- Ensure alignment with data governance, security, and compliance standards.
- Apply Agile best practices (Scrum/Kanban) using tools like Jira, Confluence, or Azure DevOps.
- Communicate complex technical concepts in clear business language.
- Stay current with AI, data, and healthcare technology trends.
✅
What We're Looking For
- 3+ years
of experience as a Technical Product Owner.
- Strong experience in Agile environments (Scrum/Kanban).
- Experience working with data products or platforms (e.g., Snowflake, BigQuery, Azure Data Lake).
- Experien...