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# Technical Product Owner

- **Company:** Norstella
- **Location:** United Kingdom (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Microsoft Excel, Agile Methodology, Artificial Intelligence, Confluence, JIRA, Microsoft Azure, Computer Engineering, Information Engineering, Microsoft Office, Microsoft PowerPoint, Scrum Methodology, Data Processing, Information Technology, Data Analytics
- **Published:** November 6, 2026
- **Apply:** https://dejobs.org/x/x/34D48546CB8149AEB4AF8F18DA43B479/job/

## About the Role

* Degree in Computer Science, Computer Engineering or equivalent field/experience
 * Minimum 2 years of experience in product ownership, product management, or business analysis within a technology, data, or life sciences/healthcare environment
 * Hands-on experience as a Product Owner in an agile framework (Scrum, Kanban, or SAFe), including backlog management and writing user stories and acceptance criteria; Scrum/Product Owner certification (e.g., CSPO, PSPO) preferred
 * Proficiency with agile and project tools such as Jira, Confluence, or Azure DevOps
 * Demonstrated success delivering technical products to scope
 * Excellent written and verbal communication skills, with the ability to translate technical concepts for non-technical stakeholders
 * High proficiency in MS Office Suite (Excel, Word, PowerPoint); analytical and reporting skills

## Description

The Technical Product Owner is a strategic role responsible for owning the product vision and backlog for Norstella's domain-specific data assets and AI-enabled solutions. Working within an agile framework, this role translates business needs into clear, prioritized requirements, and partners with engineering, data science, and research teams to deliver features and process automation, ensuring AI-enabled capabilities are accurate, compliant, and best-in-class., * Own and prioritize the product backlog, writing clear epics, user stories, and acceptance criteria that translate business needs and domain research insights into technical requirements.

 * Lead agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives, partnering with engineering, data science, and research teams to deliver working increments predictably.
 * Define requirements for AI-enabled features.
 * Communicate roadmap, progress, risks, and data-driven recommendations to internal stakeholders, ensuring clarity, relevance, and accuracy.
 * Proactively identify process and product gaps, lead optimization initiatives, and ensure all work adheres to ethical data handling, responsible AI practices, and compliance requirements.
 * Decide where AI is the right answer and where deterministic rules or workflow automation are better.
 * Partner with data engineering and governance teams on data quality.
 * Use AI tools to speed up discovery, prototyping, requirements writing, and analysis.
 * Domain knowledge of life sciences data, such as clinical trials, drug development pipelines, regulatory, or commercial data.
 * All other duties, as assigned.