Product Manager shaping Linedata’s Capitalstream lending and leasing software platform. Driving roadmap, SaaS modernization, customer value, and cross - functional delivery.
About the role
- Associate Product Manager supporting data-driven healthcare outcomes using AI and business intelligence. Collaborating with cross-functional teams to enhance reporting features and improve customer experiences.
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.
Requirements
- Bachelor’s degree in business, computer science, or a healthcare-related field of study.
- 1–3 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.
Benefits
- Benefits starting from Day 1
- Retirement Plan Matching (RRSP & 401K)
- Flexible Paid Time Off
- Lifestyle/Wellness Spending Account
- Parental & Caregiver Leaves
- Fertility & Adoption Support
- Continuous Development Support Program
- Employee Assistance Program
- Learning Programs & Resources
- Employee Recognition … and more!
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Product Manager owning provider experience and clinical operations products at Maple, Canada’s on - demand healthcare platform. Driving scalable workflows and AI - enabled care delivery improvements.
Senior Product Manager owning end - to - end product areas for Orchestry’s Microsoft 365 governance and automation SaaS platform. Turning customer insights into measurable product outcomes.
Product leader driving Innovasea’s aquaculture technology strategy, roadmaps, and launches. Improving fish health, operational efficiency, and sustainability through hardware and software solutions.
Product Manager owning documentation as a product for Versapay’s accounts receivable automation platform. Building AI - assisted pipelines, standards, and publishing systems across ERP applications.
Product Owner shaping digital commerce solutions for Valtech, an experience innovation company. Managing Agile backlogs, requirements, stakeholders, and delivery outcomes for clients.
Product Owner leading commercial data integration, modeling, and governance for McKesson’s healthcare business. Partnering with Canada’s Data & Analytics Hub and Commercial Intelligence team.
Senior Product Manager growing Jobber’s AI teammate for home service businesses. Owning acquisition, onboarding, activation, retention, and monetisation of AI adoption.
Senior Product Manager building Jobber’s AI automation platform for home service businesses. Shipping automations and evaluation tools that help providers save time and operate more efficiently.
Data Product Manager owning enterprise data products for Level Access, an accessibility technology company. Translating business needs into analytics, governance, and AI - enabled solutions.