Leadership Program - Data Engineering/AI (Hybrid)

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. 

Position Summary

Acuity's Leadership Program is a two-year rotational experience that develops high-potential early career talent into impactful professionals through hands-on experience. LPs rotate to a different functional area every six months to build business acumen and skill proficiency. Upon graduation from the Leadership Program, participants understand how they fit into the larger company strategy and have the necessary skills to develop into a future leader at Acuity Brands.
 
This role starts employment on July 13, 2026, and will work in a hybrid role in the Atlanta, GA corporate office.
 
LPs also participate in personal growth activities to enhance business acumen, including:

• Specialized onboarding for all participants to ensure integration into the organization and program.
• One-on-one mentorship from an ABL Tech leader for the duration of the program (and beyond).
• Social and networking events to forge connections with peers and leaders across the business.
• Frequent opportunities to collaborate with program peers to learn about various business processes and initiatives.
• Leadership report-out meetings to share rotational learnings and performance reviews to identify strengths and areas for growth.

 

As a Data Engineering LP, you’ll play a hands-on role in advancing this vision. You’ll architect, implement, and deploy new data models & pipelines and perform data analysis to uncover insights that drive high-impact business decisions.  This is a unique opportunity to contribute to a company leading the convergence of technology, data, and sustainability —and to help shape the future of smart, connected spaces.

Key Responsibilities

• Design and Build Data Pipelines: Assist in architecting, implementing, and deploying data pipelines and models that support Acuity’s analytics and AI initiatives using tools like Azure Data Factory, Databricks, and SQL
• Analyze and Prepare Data: Perform data exploration, transformation, and validation to ensure accuracy and usability for business reporting and decision-making
• Collaborate Across Teams: Work closely with engineers, product managers, and data scientists to understand data needs, translate business requirements into data solutions, and support integration of ML/AI models
• Support Data Quality and Governance: Help monitor and maintain data quality standards, documentation, and lineage; learn and apply best practices for security, compliance, and governance (e.g., SOX, GDPR)
• Enable Data Insights: Contribute to building curated datasets and semantic layers that power dashboards, self-service analytics, and predictive insights.
• Operate and Improve Data Systems: Support production data processes, troubleshoot issues, and assist in optimizing pipeline performance and cost efficiency

Minimum Experience Required

• Bachelors in Computer Science, Information Science, Mathematics, or related technical field required
• Master’s degree preferred
• Knowledge of SQL, data modeling and at least one programming language (e.g., Python, C++, C#, Scala)
• Strong problem-solving, collaboration, and communication skills
• Curious, self-driven, analytical and ex