AI-Driven Product Owner - Life Sciences Data

Norstella Group; United Kingdom; Remote; GBP 55,000 - 90,000; Full time

Benefits offered by this job

Life Assurance

Income Protection

Dental

Cash Plan

Health Screening & Critical Illness

Job summary

Norstella is seeking a Technical Product Owner to own the product vision and backlog for 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.

Qualifications

• Degree in Computer Science, Computer Engineering or equivalent field/experience.
• Minimum 2 years of experience in product ownership, product management, or business analysis in tech, data, or life sciences/healthcare.
• Hands-on Product Owner in agile frameworks with backlog management and user stories; CSPO/PSPO preferred.
• Proficiency with Jira, Confluence, or Azure DevOps.
• Excellent written and verbal communication; ability to translate technical concepts.
• 25 days annual leave and employer-funded life and income protection benefits.

Responsibilities

• Own and prioritize the product backlog with epics and acceptance criteria.
• Lead agile ceremonies and collaborate with engineering, data science, and research teams.
• Define requirements for AI-enabled features and ensure ethical data handling.
• Communicate roadmap, progress, risks, and data-driven recommendations to stakeholders.
• Identify gaps, drive optimisations, and ensure compliance and governance of data.

Skills

Product ownership

Agile frameworks

Backlog management

Stakeholder communication

Data-driven decisions

AI-enabled features

Life sciences domain

Education

CS/CE degree

Equivalent experience

Tools

Jira

Confluence

Azure DevOps

Job description

Norstella is seeking a Technical Product Owner to own the product vision and backlog for 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.