Data & Analytics Engineer building scalable data platforms for Ledgebrook, an insurance company. Designing pipelines, governance, and cloud data systems while partnering with technical and insurance teams.
About the role
- Product Manager for PointClickCare’s Data Platform, enabling trusted and well-defined data. Collaborate across teams to operationalize datasets and enhance product analytics.
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
- 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!
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