Position Summary
As an Associate Product Manager at PointClickCare, youβll join our Senior Care Advanced Insights team to support data, analytics, and AI-powered products that help care teams deliver exceptional outcomes. The Advanced Insights module provides business intelligence reporting tailored to Skilled Nursing and Senior Care organizations, enabling data-driven decision-making across clinical and operational workflows. In this role, you will work closely with Engineering, Data, and Product teams to deliver new reporting features, enhance existing insights, and ensure a seamless experience for customers. You will contribute to backlog management, roadmap development, and tactical execution while partnering with senior product leaders for guidance. You bring curiosity, a growth mindset, and a strong interest in leveraging data and AI to improve healthcare outcomes.Key Responsibilities
- Understand company strategy and how it connects to Product strategy and assigned scope.
- Become the product expert for the Advanced Insights module, including its reporting capabilities, data sources, and the value it delivers to Skilled Nursing and Senior Care customers.
- Work directly on business intelligence reports, delivering new features and enhancements that improve usability, insight generation, and customer outcomes.
- Support and evolve existing reporting (e.g., rehospitalization metrics, quality measures, and outcomes-focused reports) to help facilities deliver high-quality care.
- Update and expand reporting with new datasets, including state-based reimbursement reporting and enhancements driven by evolving regulatory and customer needs.
- Collaborate on the adoption and integration of new visualization tools and technologies to improve reporting experiences.
- Serve as the voice of the customer to a scrum team inclusive of engineering and UX, partnering with engineering leads to manage ceremonies associated with product delivery.
- Maintain a prioritized backlog, leveraging tools such as JIRA and Aha! to develop detailed user stories, acceptance criteria, and requirements for engineering teams.
- Contribute to product roadmap development using Aha!, supporting feature definition, prioritization, and alignment with business goals.
- Partner closely with Insights Engineering teams (including application and data modeling functions) to deliver high-quality, end-to-end product experiences.
- Work with engineering, data, and AI platform teams to ensure seamless data flow across reporting and analytics pipelines.
- Leverage AI tools (e.g., Claude) to support JIRA and Aha! workflows, create internal and external presentation materials, and conduct research to inform product decisions.
- Work with customers and internal stakeholders to validate product-market fit and continuously assess opportunities to improve products and services.
- Identify, communicate, and bring the right people together to manage risks in a timely and effective manner.
Required Skills & Qualifications
- Bachelorβs degree in business, computer science, or a healthcare-related field of study.
- 1β3 years of experience working in product management or a related discipline, preferably within a health tech SaaS environment.
- Familiarity with Agile methodologies and tools such as JIRA and Aha! for backlog management, story creation, and roadmap planning.
- Experience or exposure to business intelligence and data visualization tools such as Power BI, Tableau, or React-based reporting frameworks.
- Nice to have: experience with GoodData, Power BI, Tableau or similar analytics platforms.
- Understanding of healthcare data, including quality programs, reimbursement models, or clinical/operational reporting.
- Exposure to data-driven product development, including working with datasets, reporting pipelines, and analytics workflows.
- Foundational understanding of AI tools and their application in product workflows, research, and content creation.
- Data-driven mindset with experience managing and delivering insights and reports to diverse stakeholders.
- Strong collaboration skills with the ability to work cross-functionally across Product, Engineering, Data, and Operations teams.
- Demonstrated ability to take initiative, adapt in a fast-paced environment, and execute against defined goals.
- Strong communication skills, with the ability to tailor messaging for both technical and non-technical audiences.