• Build and maintain a robust data foundation • Develop scalable data pipelines and reliable data structures • Prepare data for reporting and AI applications • Collaborate with cross-functional teams to translate requirements into data solutions • End-to-end responsibility for data products

Role Description We are Looking for a Real Estate Research & Data Entry Specialist to join our team remotely. The successful candidate will be responsible for researching, collecting, organizing, and maintaining accurate information about real estate projects, developers, floor plans, pricing, and property-related assets in the company's database. - Research and collect real estate project information from various online sources. - Gather and update project details including location, developer information, unit types, pricing, payment plans, and amenities. - Upload and organize project images, brochures, floor plans, and related documents. - Maintain accurate and up-to-date records in the company's database and CRM system. - Verify the accuracy and completeness of all collected information before submission. - Update project information regularly based on the latest market developments. - Organize digital files and ensure proper documentation of all project assets. - Prepare reports and summaries as required by management. Qualifications - Previous experience in Data Entry, Online Research, or Real Estate Administration. - Strong internet research and data collection skills. - Excellent attention to detail and accuracy. - Proficiency in Microsoft Excel, Google Sheets, and online databases. - Ability to work independently and meet deadlines. - Good written and verbal English communication skills. - Reliable computer and internet connection. Requirements - Experience in the UAE real estate market. - Familiarity with real estate developers, projects, and property-related terminology. - Experience working with CRM systems and real estate databases.

• Own our Enterprise Data Platform as a product — its capabilities, reliability, governance, cost, and readiness for AI and natural-language analytics • Define and continuously refine the platform’s vision and product strategy • Balance foundational work with high-leverage use cases across analytics, self-service, and AI • Own the definition of what makes a data product trusted and production-ready • Define how platform capabilities surface for users • Ensure the platform’s governed semantic models are the grounding layer for AI and natural-language analytics • Lead the move from the legacy environment onto the platform • Decompose work into small, estimable data-product units that ship quickly • Own platform health as a product promise — monitoring availability and resolving data incidents • Treat adoption as the job, measuring business impact and adjusting the roadmap accordingly • Define, instrument, and report the platform’s North Star and metrics • Operate as a peer to engineering and architecture, raising the bar for data-platform management

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!