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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data & Analytics - **Company:** Allegion plc - **Location:** Carmel, IN, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Hub, Data Infrastructure, Data Warehousing, Dimensional Modeling, Information Lifecycle Management, SQL Azure, Reference Data, Power BI, SQL Databases, Git, Build Management, Microsoft Fabric, Data Analytics, Star Schema, Operational Systems, Data Management, Azure Synapse Analytics, Software Version Control - **Published:** October 14, 2026 - **Apply:** https://allegion.wd5.myworkdayjobs.com/careers/job/Carmel-IN/Manager--Data---Analytics_JR37887 ## About the Role * Proven experience managing and developing technical teams (2+ years people leadership preferred). * 7+ years' experience in Data & Analytics, Data Engineering, or Data related roles. * Strong hands-on background building and optimizing semantic models, datasets, and dashboards in Power BI and/or Microsoft Fabric. * Experience architecting data warehouse and lakehouse solutions (e.g., Azure Synapse, Azure SQL, Microsoft Fabric), including layered/medallion designs. * Experience designing and building data archival, retention, and data lifecycle management solutions across data warehouse, lakehouse, and operational systems. * Exposure to data management capabilities such as master data, reference data, or data quality, and interest in building them from the ground up. * Advanced proficiency in SQL and DAX; strong data modeling skills including star schema, dimensional modeling, and master data domain design. * Strong stakeholder management skills; able to influence across business and IT to grow adoption of both self-service BI and new Data Management Services. * Strategic thinker able to build and communicate a multi-year roadmap balancing BI delivery with new capability building. * Demonstrated ability to hire, develop talent, conduct performance management, and build high-performing team cultures. * Excellent communication and presentation skills; comfortable engaging with senior leadership and facilitating workshops. * Experience working in agile or iterative delivery environments with globally distributed teams. * Self-motivated and highly organized with the ability to balance hands-on solution development with people leadership responsibilities. * Understanding of version control (Git) and CI/CD practices, and willingness to follow governed code management processes. * Bachelor's Degree in a related field OR equivalent Technical Certification and experience. * Flexibility and adaptability in responsibilities as organizational needs evolve. ## Description This position functions within Allegion's Global Data & Analytics Team and leads the team responsible for Allegion's Data Warehouse and Lakehouse solution architecture and self-service business intelligence via Power BI. You will own this core reporting and analytics foundation while helping build out Allegion's emerging Data Management Services function, including foundational data management capabilities and opportunities to streamline business processes around data and insights. This role manages a team of Analytics Engineers and Data Engineers and balances people leadership with hands-on technical direction as the team's scope grows. Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position. What You Will Do: * Team Leadership: Directly manage, coach, and develop a team of Analytics Engineers and Data Engineers, including hiring, performance reviews, and individual development plans. * Strategy & Roadmap: Define team strategy and roadmap centered on Allegion's Data Warehouse and Lakehouse solution architecture and self-service BI platform, while growing the team's ownership of Data Management Services, aligned to Global Data & Analytics objectives. * Warehouse & Lakehouse Architecture: Own the solution architecture for Allegion's Data Warehouse and Lakehouse environments, designing the enterprise data structures and models that support reporting and self-service analytics. * Semantic Models & Self-Service BI: Build and deliver Allegion's semantic models, datasets, and self-service BI solutions in Power BI, following the standards and governed patterns set by Analytics Operations and modeling best practices for other teams to follow. * Platform Partnership: Partner with Data Platform team to ensure Data Warehouse and Lakehouse processes are optimized for downstream semantic modeling, reporting performance, and long-term scalability. * Code Management: Follow Allegion code management processes including version control, code review, and CI/CD practices, and ensure the team does the same. * Data Management Services: Establish Allegion's Data Management Services function, starting with foundational capabilities such as master data management; partner with Data Architecture and source-system owners to define golden-record approaches as the function matures. * Data Archival & Lifecycle: Design and build data archival, retention, and data lifecycle management solutions, automating the tiering, archiving, and purging of aging data across the data warehouse, lakehouse, and source systems in partnership with source-system owners. * Business Process Streamlining: Partner with business stakeholders to streamline business processes and grow adoption of new Data Management Services, driving business efficiency and insight. * Value Reporting: Track and report on self-service BI solution delivery and the growth of Data Management Services to demonstrate the expanding value and scope of the team's work. * Hands-On Technical Leadership: Stay hands-on with complex technical challenges across Data Warehouse/Lakehouse, BI, and Data Management Services work to unblock the team, guide architecture and design decisions, and model best practices. * Cross-Team Collaboration: Manage escalations and collaborate with other Data & Analytics teams, including the Data Hub Platform and Analytics Operations teams, to ensure alignment across the organization. * Engineering Culture: Foster a culture of technical excellence, continuous improvement, and enterprise-minded solution development within the team.