Manager of Engineering, Data & Analytics

InductiveHealth is a market leader in software-as-a-service (SaaS) solutions to public health agencies, dedicated to stopping disease through technology. The Manager of Data & Analytics will lead the evolution of data usage across the public health platform, driving analytics capabilities and transforming data into actionable insights for internal teams and external partners.

Responsibilities:

• 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
• Hands-on experience with Microsoft Fabric and modern data platform consolidation strategies
• Advanced Power BI expertise, specifically with performance optimization in Direct Query and building complex paginated reports
• Experience implementing lightweight, high-performance data access patterns using tools like Dapper or RepoDb
• Familiarity with API schema and documentation tools such as NSwag or Swashbuckle for data service integration
• Comfort working with YAML/JSON-based configuration for data pipelines or services
• Experience scripting or automating workflows using PowerShell in a data or infrastructure context
• A track record of improving data observability, including proactive monitoring, alerting, and root cause analysis
• Demonstrated ability to drive adoption of new data platforms or reporting standards across an organization