Engineering Manager, Data & Analytics

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🕒 April 14

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InductiveHealth Informatics

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

🔐 Security

🤖 Artificial Intelligence

Healthcare Insurance • Security • Artificial Intelligence

InductiveHealth Informatics is a leading provider of integrated solutions for disease surveillance and public health data management. They operate platforms such as EpiTrax, ESSENCE, and NBS to offer configurable electronic disease surveillance solutions, including AI-enhanced data migration and open-source technology for electronic laboratory and case reporting. Boasting over a decade of experience in public health technology, InductiveHealth supports public health agencies worldwide by managing jurisdictional surveillance systems and providing data infrastructure, ensuring compliance with information security standards. The company plays a pivotal role in public health intervention, rapidly detecting outbreaks, and maintaining secure and scalable data environments. InductiveHealth's success stories include the development of the COVID-19 Data Tracker, highlighting its capability in providing critical epidemiological data during global health crises.

📋 Description

• Lead the design and execution of an organization-wide analytics strategy focused on scalability, usability, and impact • Partner with Product, Engineering, and stakeholders to define data requirements and ensure alignment with business and public health outcomes • Own and evolve data modeling practices to support high-quality reporting, dashboards, and downstream analytics use cases • Drive development and optimization of SQL-based data pipelines across Azure SQL and SQL Server environments • Oversee Power BI development, including Direct Query models and paginated reporting for operational and executive use • Establish and improve ETL/ELT processes to ensure reliable, performant, and maintainable data flows • Implement and monitor data observability practices (e.g., Application Insights) to proactively identify and resolve data issues • Guide technical decision-making across .NET-based data services, including Entity Framework and related tooling • Mentor and develop team members, elevating technical capabilities and promoting best practices across the data stack • Champion data adoption across the organization by improving accessibility, usability, and trust in analytics outputs

🎯 Requirements

• Strong experience with SQL (T-SQL, Azure SQL, SQL Server) in production environments • Proven expertise building and scaling Power BI solutions, including Direct Query and paginated reports • Solid understanding of data modeling principles and ETL/ELT architecture • Experience working with .NET technologies (C#, Entity Framework) in data-driven applications • Ability to translate complex data into clear, actionable insights for both technical and non-technical audiences • Experience leading or mentoring data professionals, with a focus on raising team standards and output quality • Strong collaboration skills across product, engineering, and business stakeholders • A strategic mindset with the ability to balance long-term data vision with immediate business needs

🏖️ Benefits

• Virtual first, remote organization and culture • Flexible Paid Time Off (PTO) • 401(k) retirement plan with corporate matching • Medical, prescription, vision, and dental coverage (multiple plans based on your needs) • Short Term and Long Term Disability (for employee) • Life Insurance (for employee) • New Team Member support for home office setup