Manager of Engineering, Data & Analytics

United States Remote April 15, 2026 Full Time

Mission + People + Culture: With a corporate Mission to stop disease through technology, InductiveHealth is the market leader in software-as-a-service (SaaS) solutions to public health agencies. Our People come from all backgrounds and walks of life ranging from world class experts in epidemiology, informatics, and disease surveillance to engineers and product teams building high performance, modern solutions. Mission + People are unified around a virtual first Culture centered around teamwork, relentless focus on client outcomes, and individual accountability.

Why work at InductiveHealth?

1. Motivation: We value initiative-takers and self-starters who want to contribute to the success of our Team and client outcomes.

2. Curiosity: Seeking to understand and comprehend is critical - we expect and encourage questions to master job duties and grow professionally.

3. Organization: We are a Team. This means we hold each other accountable and have high expectations for performance and outcomes.

4. Feedback: "Open and honest" is part of our corporate values that builds a culture of professional growth to support client success.

5. Impact: Your individual contributions will stop the spread of disease and improve individual, community, and population health outcomes.

InductiveHealth Informatics is seeking a Manager of Data & Analytics to lead the evolution of how data is leveraged across our public health platform. This role will be responsible for driving next-level analytics capabilities and transforming complex data into actionable insights for both internal teams and external partners. You’ll sit at the intersection of engineering, product, and stakeholders, ensuring our data is not only accurate and scalable, but also meaningful and widely adopted. This is a hands-on leadership role for someone who can set vision, guide architecture, and elevate the overall data maturity of the organization.

Benefits and Perks: InductiveHealth offers competitive benefits and perks including:

· 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

About InductiveHealth: InductiveHealth (www.inductivehealth.com) was co-founded by Matthew Dollacker and Stephen Macauley in 2013. Today, InductiveHealth is headquartered in Atlanta, Georgia and has over 80 team members across the United States supporting state, tribal, local, and territorial (STLT) public health agencies in addition to Federal agencies such as the Centers for Disease Control and Prevention (CDC). In early 2021, InductiveHealth became the exclusive commercial partner of Johns Hopkins University Applied Physics Laboratory (JHU/APL) for the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) syndromic surveillance solution. To accelerate growth in the wake of the COVID-19 pandemic, InductiveHealth become a portfolio company of Diversis Capital (https://www.diversis.com/) in early 2022.

All responses to applications will come from [email protected] or from the domain @inductivehealth.com.

InductiveHealth is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, or disability.

What You’ll Be Doing

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

What We’re Looking For

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

What Will Make You Stand Out

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