Manager, Data & Analytics

Allegion•Carmel, IN

About The Position

The Manager, Data & Analytics works within Allegion’s Global Data & Analytics Team and leads the team responsible for the company’s Data Warehouse and Lakehouse solution architecture and self-service business intelligence through Power BI. The position owns this core reporting and analytics foundation while building Allegion’s emerging Data Management Services function, including foundational data management capabilities and opportunities to streamline business processes around data and insights. The manager leads Analytics Engineers and Data Engineers, balancing people leadership with hands-on technical direction as the team’s scope grows. The role sets the team’s strategy and roadmap, owns enterprise data structures and models, and delivers semantic models, datasets, and governed self-service BI solutions. It partners with the Data Platform team, Data Architecture, source-system owners, business stakeholders, and other Data & Analytics teams to improve platform performance, establish data management capabilities, develop archival and lifecycle solutions, and increase adoption and business value. The manager also guides technical work, ensures code-management practices are followed, develops team members, and reports on the team’s delivery and expanding scope. Candidates must be legally authorized to work in the United States. Allegion does not intend to sponsor employment visas for this position.

Requirements

At least 7 years of experience in Data & Analytics, Data Engineering, or related data roles.
Proven experience managing and developing technical teams; 2 or more years of people leadership is preferred.
Strong hands-on experience building and optimizing semantic models, datasets, and dashboards in Power BI and/or Microsoft Fabric.
Experience architecting data warehouse and lakehouse solutions, such as Azure Synapse, Azure SQL, or Microsoft Fabric, including layered or medallion designs.
Experience designing and building data archival, retention, and lifecycle-management solutions across data warehouse, lakehouse, and operational systems.
Advanced proficiency in SQL and DAX.
Strong data modeling skills, including star schema, dimensional modeling, and master data domain design.
Strong stakeholder-management skills and ability to influence across business and IT to grow adoption of self-service BI and Data Management Services.
Ability to build and communicate a multi-year roadmap that balances BI delivery with new capability development.
Demonstrated ability to hire and develop talent, conduct performance management, and build high-performing team cultures.
Excellent communication and presentation skills, including comfort engaging senior leadership and facilitating workshops.
Experience working in agile or iterative delivery environments with globally distributed teams.
Self-motivated, highly organized, and able 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 as organizational needs evolve.
Legally authorized to be employed in the United States; the company does not intend to provide employment visa sponsorship.

Nice To Haves

At least 2 years of people leadership experience.
Exposure to data management capabilities such as master data, reference data, or data quality.
Interest in building data management capabilities from the ground up.

Responsibilities

Directly manage, coach, and develop Analytics Engineers and Data Engineers, including hiring, performance reviews, and individual development plans.
Define the team’s strategy and roadmap for the Data Warehouse, Lakehouse, self-service BI, and growing Data Management Services responsibilities.
Own the solution architecture for Allegion’s Data Warehouse and Lakehouse environments, including enterprise data structures and models for reporting and self-service analytics.
Build and deliver semantic models, datasets, and self-service BI solutions in Power BI, following Analytics Operations standards, governed patterns, and modeling best practices.
Partner with the Data Platform team to optimize Data Warehouse and Lakehouse processes for semantic modeling, reporting performance, and long-term scalability.
Follow and ensure adherence to code-management processes, including version control, code review, and CI/CD practices.
Establish the Data Management Services function, beginning with foundational capabilities such as master data management, and work with Data Architecture and source-system owners on golden-record approaches.
Design and build data archival, retention, and lifecycle-management solutions, automating tiering, archiving, and purging across the data warehouse, lakehouse, and source systems in partnership with source-system owners.
Partner with business stakeholders to streamline business processes and grow adoption of Data Management Services to improve efficiency and insight.
Track and report on self-service BI delivery and the growth of Data Management Services to demonstrate the team’s value and scope.
Provide hands-on technical leadership on complex Data Warehouse, Lakehouse, BI, and Data Management Services challenges; guide architecture and design decisions and model best practices.
Manage escalations and collaborate with the Data Hub Platform, Analytics Operations, and other Data & Analytics teams to ensure organizational alignment.
Foster technical excellence, continuous improvement, and enterprise-minded solution development within the team.