Role Description PointClickCare is looking for a Product Manager to join our Data Platform Product team, owning a portfolio focused on enabling scalable, trusted, and well-defined data across the PointClickCare platform. This role supports the operationalization of multiple datasets that power downstream products, analytics, and workflows, ensuring data is accurate, accessible, and aligned across domains. You will be accountable for product impact: - Understanding complex data domains deeply. - Making clear prioritization calls across competing datasets. - Partnering closely with engineering and product teams to deliver high-quality, well-modeled data. - Building on the established PointClickCare platform, focusing on enabling trusted data through strong definition, cataloguing, and governance practices. Key Duties and 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. Qualifications - 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. - Working knowledge of SQL and/or Python (preferred). - 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. Benefits - Benefits starting from Day 1. - Retirement Plan Matching. - Flexible Paid Time Off. - Wellness Support Programs and Resources. - Parental & Caregiver Leaves. - Fertility & Adoption Support. - Continuous Development Support Program. - Employee Assistance Program. - Allyship and Inclusion Communities. - Employee Recognition and more!

• We are looking for a Senior Data Engineer who thrives on building commercial products and plays a key role in delivering reliable, scalable, and maintainable applications. • You will own projects end-to-end, collaborating with Product Managers to define requirements, implement solutions, and ensure ongoing success post-deployment. • You'll focus on simplicity while contributing technical insights to enhance the system's performance, stability, and user experience. • Participate in all stages of the software development life cycle, from design and development to deployment and maintenance. • Contribute to the product and technical roadmap by providing data-driven insights and articulating trade-offs between technical options and business goals. • Support and mentor junior engineers on the team through code reviews, pairing, and technical guidance. • Follow clean code principles, using best practices to write secure, testable, and well-documented software. • Work closely with a global team, including engineers and product managers, to build a stable, high-performance platform. • Implement comprehensive testing and performance tuning to ensure system stability and uptime.

• Participate in all stages of the software development life cycle, from design and development to deployment and maintenance. • Contribute to the product and technical roadmap by providing data-driven insights and articulating trade-offs between technical options and business goals. • Support and mentor junior engineers on the team through code reviews, pairing, and technical guidance. • Follow clean code principles, using best practices to write secure, testable, and well-documented software. • Work closely with a global team, including engineers and product managers, to build a stable, high-performance platform. • Implement comprehensive testing and performance tuning to ensure system stability and uptime.

• Support migration activities for pipelines, processes and data assets. • Implement and adapt solutions in the DAB (Databricks Asset Bundles) environment. • Collaborate with data and technology teams to ensure operational continuity during migrations. • Develop, refine and document data engineering workflows. • Support testing, validation and post-migration monitoring.