Product Manager - Data Platform

PointClickCare is a leading health tech company focused on empowering providers to deliver exceptional care. They are seeking a Product Manager for their Data Platform team to manage a portfolio that ensures scalable and trusted data across the platform, facilitating the operationalization of datasets for analytics and workflows.

Responsibilities:

• Own the roadmap and backlog for your portfolio, prioritizing datasets and platform capabilities against customer value and business impact
• Serve both customers and internal data stakeholders, translating domain needs into clear data definitions, schemas, and requirements
• Run continuous discovery with domain experts and engineering teams to deeply understand data sources, transformations, and usage across the platform
• Partner with data platform engineers to guide datasets through transformation stages, ensuring quality progression into trusted, consumable data layers
• Work cross-functionally with engineering, analytics, and product teams to enable consistent and scalable data usage across the platform
• Assess product investment opportunities and incoming requests with structured rigor, bringing clear recommendations on dataset prioritization and platform improvements
• Define and monitor data health, adoption, and usability metrics, using insights to inform roadmap decisions
• Enable and support data catalog creation and ongoing maintenance, ensuring datasets are well-documented and understood across teams
• Influence and align multiple product teams without formal authority to drive cross-platform data consistency and adoption
• Support ongoing data operations, including dataset health, usage questions, and continuous improvements

Requirements:

• Bachelor's degree in Healthcare, Engineering, Business Administration, or related field
• 3+ years of product management experience, including B2B experience with enterprise customers
• Experience managing software or platform products through the full development lifecycle
• Experience working with data platforms, data pipelines, or analytics products
• Strong understanding of data concepts such as data modeling, schema design, and data transformation
• Familiarity with Azure (Data Lake), Databricks, or comparable cloud data platforms
• Experience with data cataloging, governance, and cross-domain data definition
• Ability to influence and drive alignment across engineering, data, and product stakeholders without formal authority
• Strong communication and stakeholder management skills with both technical and business audiences
• Experience working with complex, cross-platform data ecosystems and multiple stakeholders
• A bias toward execution and outcomes, with strong prioritization and decision-making skills
• Working knowledge of SQL and/or Python