• Design, build, and maintain scalable, fault-tolerant data pipelines (batch and/or streaming) for core business and product data. • Ingest data from diverse sources including APIs, databases, event streams, and third-party services, ensuring high data quality and reliability. • Design and manage data models and storage layers (data warehouses, data lakes) that support analytics and downstream use cases. • Partner with analytics, product, and engineering teams to deliver clean, well-documented datasets that enable self-service analytics and experimentation. • Implement monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency. • Enforce data governance best practices, including access control, privacy, documentation, and data lineage.

• Design, build, and maintain scalable, fault-tolerant data pipelines (batch and/or streaming) for core business and product data. • Ingest data from diverse sources including APIs, databases, event streams, and third-party services, ensuring high data quality and reliability. • Design and manage data models and storage layers (data warehouses, data lakes) that support analytics and downstream use cases. • Partner with analytics, product, and engineering teams to deliver clean, well-documented datasets that enable self-service analytics and experimentation. • Implement monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency. • Enforce data governance best practices, including access control, privacy, documentation, and data lineage.

• Design and execute SQL-based ETL processes to migrate public safety data from legacy systems • Collaborate with data migration contractors and review technical deliverables • Meet with records management teams to understand legacy data and translate to Mark43 schema • Investigate uniquely formatted source databases for data fidelity • Work alongside deployment, engineering, and product teams to improve migration tools

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, Performance Data Operations - REMOTE. In this critical role, you will be the driving force behind performance improvement initiatives focused on population health. Your work will influence health equity, quality improvement, and cost-effectiveness for high-risk populations. As the analytical lead, you will take charge of complex datasets and analytics, bridging data with organizational strategy. Your leadership will foster collaboration across various teams, ensuring that population health measures are integrated into operations, and that executives understand actionable insights derived from data analysis. Accountabilities - Execute the Population Health Impact Performance Improvement Vision & Roadmap by building and maintaining complex datasets. - Lead end-to-end program management for Population Health Impact initiatives, overseeing all phases from scoping to execution. - Transform complex findings into clear, actionable insights for executives, field teams, and partners. - Establish strong, trust-based relationships across functions to align on priorities and timelines for improvement initiatives. - Drive performance improvement cycles using advanced analytics and effective project management. Qualifications - Bachelor’s degree in Business Analytics, Data Science, Public Health, or a related field. - Expert-level proficiency in Tableau and SQL, with a proven ability to build and analyze scalable datasets. - 8+ years of relevant experience in population health or healthcare analytics. - Ability to conduct in-depth data analyses, including segmentation and cohort analysis. - Strong communication skills for presenting complex data to diverse audiences. Requirements - Bachelor’s degree in Business Analytics, Data Science, Public Health, or a related field. - Expert-level proficiency in Tableau and SQL, with a proven ability to build and analyze scalable datasets. - 8+ years of relevant experience in population health or healthcare analytics. - Ability to conduct in-depth data analyses, including segmentation and cohort analysis. - Strong communication skills for presenting complex data to diverse audiences. Benefits - Flexible work schedules with the option to work remotely. - Health, dental and vision insurance covered up to 80% for employees and dependents. - 21 days of PTO in the first year plus two paid volunteer days. - 12 weeks paid parental leave for new parents. - Six weeks paid sabbatical after six years of service. - Educational assistance and reimbursement programs available. - 401(k) plan with up to 4% company match. - Stock options and various additional perks.