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Lead Solution Architect, Product Engineering & PLM

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Acuity Inc
Full Time position
Listed on 2025-12-28
Job specializations:
  • Engineering
    Systems Engineer, Product Engineer, Data Engineer, Engineering Design & Technologists
  • IT/Tech
    Systems Engineer, Product Engineer, Data Engineer, Engineering Design & Technologists
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Work Flexibility:
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  .

Work location:

  • This position may be based anywhere in the United States and includes travel as part of the responsibilities.
Position Summary & Location

Acuity seeks a highly motivated and experienced Product Engineering / Product Lifecycle Management (PLM) Solution Architect to lead the architecture, integration, and modernization of our enterprise Product Lifecycle Management (PLM) and Product Engineering space. The Lead Solution Architect, Product Engineering & PLM, is critical in shaping how Acuity manages product data from design to commercialization—ensuring systems are scalable, interconnected, and aligned with our long‑term digital strategy.

They work cross‑functionally with Product Engineering, Design Engineering, Product Management, Manufacturing, Sourcing, and Enterprise Architecture teams to enable high‑performing product and data ecosystems that drive agility, quality, and innovation. This role directly supports Acuity’s Better, Faster, Smarter transformation goals.

The ideal candidate will bring deep expertise in the product engineering domain—Product Data (Components, finished goods, phantoms, assemblies, etc.), PLM architecture, design & implementation, Product Information Master integration, CAD software & integrations, ERP integration, product data governance, reporting & analytics, and data migrations. They will be energized by solving complex architecture challenges, aligning cross‑functional stakeholders, and delivering scalable, business‑ready solutions across engineering and commercial domains.

This position is based in the United States.

Primary Responsibilities Include
  • Serve as the key point of contact & solution architect for the product engineering domain across all product areas, including Parts & Components, Product Catalog, Bills of Materials (BoMs), CAD integrations, and Product Master Data (PIM).
  • Design and evolve scalable architecture for managing multi‑level products, configurable products, and engineering hierarchies within PLM systems (e.g., PTC Windchill) and PIM systems.
  • Enable end‑to‑end integration between CAD/EDA tools (e.g., Altium, Solid Works, PTC Creo) and PLM platforms to support design traceability and digital thread workflows.
  • Lead the selection, integration, and governance strategy for Product Lifecycle Management (PLM) platforms that support the global product engineering team, product catalog syndication, and attribute enrichment.
  • Build seamless product data flows between engineering (PLM), commerce (PIM), Integration (e.g., Mule Soft), ERP, MDM, and customer‑facing applications.
  • Establish and standardize processes for creating, managing, and distributing high‑quality Product Master Data.
  • Drive integration architecture using Mule Soft, RESTful APIs, or similar platforms to ensure robust, secure connectivity across systems.
  • Incorporate monitoring and analytics tools (e.g., Grafana, Elastic Search, Power BI) to support operational transparency and product data service reliability.
  • Explore and apply Generative AI to accelerate attribute creation, component matching, and intelligent product metadata transformation.
  • Partner with security, data governance, and business…
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