Contract Assignment:
Technical Product Owner
Start Date:
November 2025 (earlier start possible if available)
Location:
Remote (Ireland Based) – 1 day per month in Dublin office
Duration:
12 months (27/10/2025 – 25/10/2026)
Daily Rate:
EUR Ltd/Umbrella) OR EUR PAYE) -
D.O.E
Role Overview
We are seeking a
Data-Focused Technical Product Owner
to join a growing healthcare technology platform. This role is available as the current post-holder takes personal leave, but due to the expansion of the platform and scaling number of clients, there will be longer-term opportunities within the team.
You will be working closely with 6–8 data engineers, acting as the bridge between business stakeholders and technical teams, ensuring the right data is acquired, mapped, and delivered effectively. This role is highly data-driven, ideal for someone with a background in data analysis, business analysis, or technical product ownership within data-heavy environments.
Key Responsibilities
* Drive delivery with a dedicated data engineering team (6–8 engineers).
* Analyse and define client data requirements to support onboarding and scaling activity.
* Act as a translator between technical and non-technical stakeholders.
* Map data processes and support data transfer between systems (APIs, message queues).
* Break down requirements into actionable user stories, leading refinement with the scrum team.
* Perform data analysis and SQL queries where needed to support delivery.
* Support general strategy for data integration and movement between systems.
* Contribute to scaling the platform as new clients are onboarded.
* Ensure alignment with broader platform strategy while supporting technical innovation.
Skills & Experience
* Strong experience as a
Technical BA / Product Owner
with a focus on data.
* Background in Scrum/Agile delivery.
* SQL experience (basic querying).
* Familiarity with APIs, message queues, and system-to-system data transfers.
* Data mapping and general data integration strategy experience.
* Exposure to Python and Databricks is advantageous but not essential.
* Literacy in AI/ML concepts (enough to discuss dataset preparation with technical teams).
* Strong communication and stakeholder management skills.
* Previous experience in payments, fintech, or data-heavy industries (e.g., Mastercard) desirable.