Senior Manager Software Engineering

Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives. 

We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals. 

Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www.acuityinc.com. 

Job Summary

We are seeking a Senior Manager Data Engineering to lead our data engineering team and build a modern, AI-ready data ecosystem on the Azure Data Platform. This role will ensure that our enterprise data is integrated, enriched, compliant, and readily consumable for analytics, BI, and ML/AI use cases. The ideal candidate is a hands-on leader who can bridge engineering excellence with business needs, while enabling scalable AI-driven innovation.

Team Leadership & Strategy

• Lead, mentor, and grow data engineers and BI engineers, fostering a high-performance, collaborative culture.
• Define and execute the data engineering roadmap aligned with enterprise AI and analytics strategies.
• Collaborate with cross-functional teams (product, finance, IT security, operations) to ensure data priorities support business outcomes.

Data Platform & AI/ML Readiness

• Architect and oversee ingestion, transformation, and integration of diverse data sources (structured/unstructured, batch/streaming).
• Partner closely with ML/AI teams to understand data requirements, design AI-ready datasets, and ensure data pipelines support model training and inference.
• Enable CI/CD integration of ML models into production data pipelines and APIs.
• Build domain-oriented, enriched datasets that power analytics, operational insights, and advanced AI/ML use cases.

Key Tasks & Responsibilities (Essential Functions)

Data Governance & Compliance

• Oversee the data marketplace / catalog to ensure discoverability, secure access, and auditability.
• Implement access controls, encryption, and audit trails for PII/SPII and regulated data.
• Ensure adherence to SOX, GDPR, CCPA and internal compliance standards.
• Drive data quality, lineage, and governance initiatives using enterprise data marketplace tool.

Data Democratization, Consumption & Literacy

• Drive data democratization by making curated, governed data easily accessible to business users and power users.
• Partner with BI and analytics teams to build semantic layers and data models that accelerate consumption in Power BI and other tools.
• Lead data literacy programs to ensure stakeholders “speak data” and use a consistent, trusted source of truth across the organization.
• Evangelize data sharing internally and externally, making it seamless for partners, vendors, and agencies while ensuring compliance and governance.
• Champion the use of data to enable timely, actionable insights that directly impact decision-making and business outcomes.

Other

Operational Excellence & DataOps

• Monitor performance, optimize cost, and drive reliability across pipelines, Lakehouse, and warehouse environments.
• Champion DataOps practices including automation, CI/CD pipelines, testing, and monitoring.
• Collaborate with Enterprise Architects to align with enterprise-wide standards and future-state data architecture.
• Partner with Finance to implement FinOps practices that balance scalability with cost efficiency.

Innovation &