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Allegion

Security hardware and access control systems

Manager: Data & Analytics

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeCarmel, IN, USAIn-person

About the Job

Requirements

  • Proven experience managing and developing technical teams; 2+ years of people leadership is preferred.
  • At least 7 years of experience in Data & Analytics, Data Engineering, or related data roles.
  • 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.
  • 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 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 balancing BI delivery with new capability development.
  • Demonstrated ability to hire and develop talent, conduct performance management, and build high-performing team cultures.
  • Experience working in agile or iterative delivery environments with globally distributed teams.
  • 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 as organizational needs evolve.

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 Data Warehouse and Lakehouse architecture and self-service BI, while expanding ownership of Data Management Services in alignment with Global Data & Analytics objectives.
  • Own the solution architecture for Data Warehouse and Lakehouse environments, designing enterprise data structures and models that support reporting and self-service analytics.
  • Build and deliver semantic models, datasets, and self-service BI solutions in Power BI, following Analytics Operations standards and governed patterns and modeling best practices.
  • Partner with the Data Platform team to optimize Data Warehouse and Lakehouse processes for downstream semantic modeling, reporting performance, and long-term scalability.
  • Follow code management processes, including version control, code review, and CI/CD practices, and ensure the team follows them.
  • Establish the 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.
  • Design and build data archival, retention, and lifecycle management solutions, automating tiering, archiving, and purging of aging data across data warehouse, lakehouse, and source systems with source-system owners.
  • Partner with business stakeholders to streamline business processes and grow adoption of Data Management Services to drive business efficiency and insight.
  • Track and report on self-service BI solution delivery and the growth of Data Management Services to demonstrate the team's expanding value and scope.
  • Stay hands-on with complex technical challenges across Data Warehouse/Lakehouse, BI, and Data Management Services to unblock the team, guide architecture and design decisions, and model best practices.
  • Manage escalations and collaborate with Data & Analytics teams, including Data Hub Platform and Analytics Operations, to ensure organizational alignment.
  • Foster technical excellence, continuous improvement, and enterprise-minded solution development within the team.

Desired Qualifications

  • At least 2 years of people leadership experience.

About the Company

Allegion

Security hardware and access control systems

Allegion provides security solutions for doors and nearby areas worldwide, serving homes, businesses, schools, and other organizations. Its products include mechanical locks that physically secure entries, electronic access control systems that grant entry via credentials or codes, and biometric scanners that verify identity. The company differentiates itself with a broad global portfolio, multiple layered security technologies, strong partnerships, and a commitment to ESG principles. Its goal is to help people move safely and smoothly through spaces by delivering reliable security solutions and ongoing support.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1908

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