Privacy-Driven Product Manager: Unstructured Data (Healthcare)

Datavant; Galway; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Pension contribution

Hybrid work environment

Job summary

Datavant Ireland, located in Galway, is seeking a technically fluent Product Manager to own unstructured data de-identification capabilities within the Privacy Product Area. You will drive the strategy for the core de‑identification engine while expanding on-prem/cloud deployments for enterprise clients and shaping the AI-ready utility layer.

You will collaborate with Engineering, Privacy R&D, and GTM teams to improve recall and precision, reduce manual review burden, and scale analytics-ready

Qualifications

• 5+ years of product management or technical product ownership experience.
• Experience owning a complex, technically ambiguous product from strategy through delivery.
• Working understanding of healthcare data privacy concepts: HIPAA Privacy Rule, Expert Determination.
• Enough technical fluency to work with NLP/ML-based identifier detection and data scientists.
• Ability to scope on-premise (cloud) client deployments and partner decisions on build vs. buy.

Responsibilities

• Own product strategy and roadmap for unstructured data de-identification.
• Set and defend goals: growth, adoption, recall, precision, time savings for data science teams.
• Direct the detection/redaction pipeline with Eng and Data Science.
• Own on-prem (cloud) strategy and architecture considerations with Legal and Engineering.
• Translate client asks into roadmap requirements and validate against strategy.
• Act as Agile Product Owner: manage backlog and cross-team dependencies.

Skills

Product management

Healthcare data privacy

NLP/ML

Agile development

Communication

Job description

Datavant Ireland, located in Galway, is seeking a technically fluent Product Manager to own unstructured data de-identification capabilities within the Privacy Product Area. You will drive the strategy for the core de‑identification engine while expanding on-prem/cloud deployments for enterprise clients and shaping the AI-ready utility layer.

You will collaborate with Engineering, Privacy R&D, and GTM teams to improve recall and precision, reduce manual review burden, and scale analytics-ready