Data & AI Specialist - BUILD Leadership Program

## Job Summary The Acuity Inc. BUILD program is a two-year rotational experience that develops high-potential early career talent into impactful professionals through hands-on experience. BUILD participants rotate to a different functional area every six months to build business acumen and skill proficiency. Upon completion of BUILD, participants will have developed broad business understanding, functional expertise, and the professional skills needed to contribute in future career opportunities across Acuity. Acuity’s Data & AI Leadership Program is a two-year rotational program designed to develop emerging talent into future leaders across data, artificial intelligence, product, and technology. Participants complete four rotations across areas such as data engineering, analytics, AI solutions, product management, cloud/platform, and database engineering, gaining hands-on experience delivering AI-enabled capabilities that improve business performance, decision-making, and customer outcomes. ## Key Tasks & Responsibilities (Essential Functions) Data and Product Program Rotation Opportunities: - Data Engineering & Data Operations — support data movement, cleansing, transformation, integration, and pipeline development for analytics and AI use cases - Analytics & Business Intelligence — develop reporting, dashboards, usage metrics, and insights that support business operations and strategic decisions - AI Solutions & Business Applications — partner with technical and business teams to identify and support AI-driven opportunities across enterprise functions - Product & Business Requirements — translate business needs into product, data, and AI requirements - AI Product Management — contribute to roadmap planning, prioritization, experimentation, and adoption of AI-enabled capabilities - DevOps / MLOps / Platform / Cloud / Infrastructure — gain exposure to cloud environments, deployment practices, automation, monitoring, and scalable technology platforms - Database Engineering — assist with database design, optimization, reliability, and performance to support enterprise data and AI workloads - Data Governance & Responsible AI — support data quality, governance, privacy, and responsible AI practices