
1001 - 5000 employees
🏥 Healthcare
💼 Consulting
⚕️ Healthcare Insurance
💰 Secondary Market on 2022-03
Healthcare • Consulting • Healthcare Insurance
PointClickCare is a cloud-based software provider focused on improving care collaboration and financial health in the healthcare industry. The company offers a comprehensive platform that connects care teams with important data, allowing for seamless care transitions and better patient outcomes. By streamlining operations for skilled nursing facilities, senior living communities, and other healthcare providers, PointClickCare helps reduce inefficiencies, manage medication orders, ensure compliance, and improve financial performance. PointClickCare also fosters innovation and quality improvements in healthcare through integrated care coordination and actionable insights across data silos.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $55 - $61 / hour
⏳ Contract/Temporary
🟠 Senior
📉 Data Analyst
🦅 H1B Visa Sponsor
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1001 - 5000 employees
🏥 Healthcare
💼 Consulting
⚕️ Healthcare Insurance
💰 Secondary Market on 2022-03
Healthcare • Consulting • Healthcare Insurance
PointClickCare is a cloud-based software provider focused on improving care collaboration and financial health in the healthcare industry. The company offers a comprehensive platform that connects care teams with important data, allowing for seamless care transitions and better patient outcomes. By streamlining operations for skilled nursing facilities, senior living communities, and other healthcare providers, PointClickCare helps reduce inefficiencies, manage medication orders, ensure compliance, and improve financial performance. PointClickCare also fosters innovation and quality improvements in healthcare through integrated care coordination and actionable insights across data silos.
• Lead the cataloging and enrichment of priority data domains within the enterprise data catalog platform, ensuring completeness of business descriptions, CDE designations, sensitivity labels, lineage documentation, and data ownership assignments. • Design, implement, and maintain data quality monitoring frameworks and observability patterns across critical datasets; lead root cause analysis and issue remediation efforts in collaboration with Data Stewards, Data Owners, and engineering teams. • Oversee and maintain the business glossary, data dictionary, and critical data elements (CDEs), driving alignment between business domain leads and technical teams on authoritative definitions and metric standards. • Lead cross-functional workstreams to operationalize Data Trust processes including stewardship onboarding, certification reviews, governance policy enforcement, and data access governance. • Perform advanced data profiling, analysis, and lineage tracing across source and target systems to support certification readiness, compliance requirements, and AI enablement initiatives. • Develop and maintain Data Trust metrics, scorecards, and reporting dashboards that track catalog coverage, data quality health, certified asset counts, and stewardship adoption. • Act as a subject matter expert and trusted advisor to Data Owners, Data Stewards, technical teams, and business leaders on data governance expectations, issue prioritization, and data quality remediation strategies. • Design and document improvements to data governance processes, metadata standards, and data quality frameworks, and present recommendations to the Senior Manager, Data Trust. • Mentor and support junior Data Governance Analysts, providing coaching on tools, governance techniques, and best practices for metadata management and quality assurance. • Support the governance of AI-ready data assets by ensuring certified datasets meet quality, lineage, sensitivity, and documentation standards required for consumption by analytics and AI systems.
• Post-secondary degree in Computer Science, Information Management, Business, Mathematics, or a related discipline. • 3 – 5 years of experience in data governance, data quality, metadata management, or a closely related analytical discipline. • Demonstrated experience independently leading data governance or data quality workstreams in a cross-functional, enterprise environment. • Proficiency in SQL and experience with advanced data profiling, analysis, and lineage documentation across enterprise data assets. • Hands-on experience with enterprise data catalog platforms, metadata management tools, or data quality monitoring platforms. • Strong knowledge of data governance frameworks (e.g., DAMA-DMBOK, DCAM) and practical experience applying them across business and technical teams. • Excellent stakeholder management, communication, and influencing skills; ability to present governance findings and recommendations to both business and technical audiences. • Experience designing and maintaining governance metrics, data quality scorecards, or asset certification frameworks.
• 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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