Product Manager

Location:

Apeiro Overview

Enabling governments to transform healthcare and ensuring no one is left behind in receiving high quality healthcare services. Apeiro is bringing healthcare into the digital age with state-of-the-art platforms, while creating an integrated, interoperable ecosystem for all healthcare stakeholders.

Position Overview

ata-driven Product Manager

Key Responsibilities

Product Strategy & Roadmap

• Define and execute the product roadmap across data platforms, reporting, and analytics products.
• Identify opportunities to improve data accessibility, quality, and usability for internal and external stakeholders.
• Collaborate with engineering and program teams to requirements for scalable data architectures and pipelines.
• Drive product decisions based on quantitative analysis, user feedback, and business impact.

Data Analysis & Insights

• Write and review SQL/Python queries to explore datasets, validate models, and monitor performance.
• Create dashboards and reports to track product KPIs, adoption metrics, and system performance.
• Define and run

  evaluation frameworks

  (including AI model evaluations) to ensure accuracy, reliability, and fairness in data products.
• Identify data quality issues and collaborate with engineering to implement monitoring and resolution strategies.

Stakeholder Management

• Partner with business, program, and operations teams to gather requirements and prioritize use cases.
• Collaborate with UX/UI teams to build intuitive data exploration and visualization experiences.
• Work closely with engineering to define technical requirements, schema changes, and acceptance criteria.
• Present product insights and recommendations to executive leadership.

Domain and Behavioural

• Understand data workflows across ingestion, transformation, storage, and consumption layers.
• Analyse competitive landscape and industry best practices in data platforms and AI evaluation.
• Strong ownership and accountability mindset with the ability to work hands-on in data-heavy environments.

Required Qualifications

• 5+ years of product management experience, ideally with exposure to

  data-heavy workflows

  such as analytics, reporting, and insights.
• Strong skills in

  SQL, databases, and ETL/ELT

  processes; familiarity with Python a plus.
• Experience in

  product evaluation and measurement

  (metrics, benchmarks, experimentation).
• Proven ability to translate data analysis into product strategy and execution.
• Excellent communication skills with the ability to influence diverse technical and business stakeholders.