Senior Manager, Software Engineering - Enterprise Product Platforms (PIM & PLM)

Acuity•Atlanta, GA

33d

About The Position

Acuity is seeking an experienced and visionary Senior Manager, Software Engineering to lead the design, development, and delivery of next-generation Commerce and Digital Platform solutions that power our enterprise product and data ecosystem. This leader will oversee onshore and offshore engineering teams and drive modernization across digital commerce, product data, and integration layers.The ideal candidate will bring deep technical expertise in enterprise commerce platforms, software architecture, Python-based data processing, and cloud-native systems, along with a strong ability to partner with data engineering teams to enable data-driven digital experiences. This role plays a key part in Acuity's Better, Faster, Smarter transformation — ensuring technology, data, and business strategies are seamlessly aligned to accelerate innovation and scalability.

Requirements

Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred).
8+ years of experience leading software engineering teams, including managing onshore/offshore models in a global enterprise environment.
6+ years of hands-on software development and architecture experience, with emphasis on commerce platforms, digital experiences, and product data ecosystems.
Strong programming experience in .NET, .NET Core, and Python, including RESTful API and microservices development.
Deep understanding of data engineering concepts (data pipelines, streaming, event-driven design, and API-based data services).
Proven experience collaborating with data engineering and analytics teams to design and implement data-driven solutions.
Demonstrated success integrating enterprise systems like PIM, PLM, ERP, and MDM with digital commerce platforms.
Solid experience with Azure Cloud, container orchestration (Docker, Kubernetes), and DevOps automation using Azure DevOps.
Strong background in Agile/Scrum delivery methodologies, sprint planning, and engineering execution at scale.
Excellent leadership, communication, and stakeholder management skills with the ability to align technical strategy to business outcomes.

Responsibilities

Lead and manage a high-performing software engineering organization across onshore and offshore teams, fostering a culture of collaboration, technical excellence, and continuous improvement.
Own the architecture and end-to-end delivery of enterprise commerce and digital experience platforms - ensuring scalability, security, and alignment with product and business objectives.
Drive modernization of commerce and digital ecosystems, including migration to cloud-native, microservices, and API-first architectures.
Provide architectural direction and technical oversight across commerce, product data, and analytics platforms.
Partner closely with data engineering teams to design and implement data pipelines, APIs, and event-driven architectures that power commerce, personalization, and analytics capabilities.
Lead the development of RESTful APIs, streaming services, and microservices using .NET, Python, and Azure technologies for real-time data processing and distribution.
Integrate enterprise systems such as PIM, PLM, ERP, and MDM with commerce and digital platforms, ensuring consistency and traceability across the product lifecycle.
Collaborate with data engineering and analytics teams to operationalize data for digital commerce — including pricing intelligence, personalization, and catalog optimization.
Implement DevOps best practices using Azure DevOps (ADO) for CI/CD automation, infrastructure-as-code (ARM/Bicep), and containerized deployments (Docker/Kubernetes).
Drive performance monitoring and observability through Grafana, ElasticSearch, Power BI, or Azure Monitor for transparency and reliability.
Enforce software engineering standards, code quality, and governance practices across distributed teams.
Collaborate with Product Management and Enterprise Architecture to define technical roadmaps, align resources, and ensure delivery predictability.
Explore and apply Generative AI and data-driven approaches to enhance digital commerce experiences, attribute generation, and customer engagement.
Coach, mentor, and grow engineering talent, developing leadership depth and technical capability across the team.