Senior Engineering Manager, Reporting & Dashboards

Ready to Be a Titan? We are seeking a hands-on, execution-focused Senior Engineering Manager to lead our Report & Dashboard (RD) team. This team builds and maintains the data access and visualization layer that powers critical business intelligence across our platform. With team members in the U.S. and Armenia and the potential to expand further across North America, this role requires strong leadership, clear communication, and cross-time zone collaboration. The RD Manager will be responsible for technical direction, people development, delivery execution, and process improvement. The ideal candidate is passionate about building reliable, scalable data products, cares deeply about user experience, and thrives in a fast-paced environment where priorities shift and innovation is constant. The foundational requirement for this position is current, active coding proficiency in C# or Java. What You'll Do: Lead, coach, and grow a geographically distributed team of software and data engineers Drive execution through Agile/Scrum practices; ensure consistent delivery, retrospectives, and sprint planning Define and track engineering effectiveness using metrics (e.g., sprint predictability, incident rates, code quality, deployment frequency) Own the end-to-end delivery of features and improvements for reporting, visualization, and dashboard infrastructure Guide technical design, implementation, and operational excellence, including modernizing the KPI and reporting framework using DBT and MetricFlow Partner closely with Product, Data Platform, and other engineering teams to align on roadmap and cross-team dependencies Champion best practices in software development, data modeling, testing, and CI/CD pipelines Ensure the team maintains high availability, responsiveness, and performance for near-real-time reporting services What You’ll Bring: Bachelor's degree in Computer Science, Software Engineering, or a related technical field (Master's or higher degree preferred) Expert-level knowledge of Microsoft .NET technology stack (C# / .NET, ASP.NET MVC, Web APIs) and SQL databases (Microsoft SQL Server or any other) or Java 6 years of experience as a software developer working with distributed and microservice architectures in a SaaS environment 3 years of experience managing high-performing engineering teams, including remote or distributed teams Proven leadership in driving the Scrum process, with a strong ability to coach teams through planning, execution, and retrospective cycles Demonstrated ability to use engineering KPIs to measure and improve team performance and system health Strong technical background in data engineering, analytics platforms, or full-stack systems delivering reporting and BI solutions Hands-on experience with modern data stack components such as Snowflake, DBT, Looker, or MetricFlow Solid understanding of SQL optimization, KPI computation, and data visualization best practices Excellent written and verbal communication skills; able to bridge technical and non-technical audiences Experience working across time zones and cultures Experience migrating legacy reporting systems to modern, scalable data stacks Familiarity with metadata-driven KPI definition and dynamic SQL generation Background in enterprise SaaS or multi-tenant architecture Understanding of shift-left testing principles and experience driving early test automation and validation practices within the SDLC Exposure to Generative AI technologies to enhance customer experience, such as: Building AI-powered assistants or copilots to help users explore, interpret, or build reports Using LLMs to summarize dashboards or surface insights in natural language Recommending KPIs or visualizations based on user behavior, intent, or data trends Be Human With Us: Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills bu ... (truncated, view full listing at source)