IT Manager - Platform Engineering & Data Science

## IT Manager - Platform Engineering & Data Science Apply locations:
Remote time type:
Full time posted on:
Posted Todayjob requisition :
R-138931
** Job Posting:
** Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers’ complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries:
Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in.
** Manager, Platform Engineering & Data Science
** The Manager, Platform Engineering & Data Science is a key technology leader within Ferguson's AI Technology and Innovation organization, responsible for building and evolving the platforms, engineering standards, and cloud capabilities that enable scalable AI, machine learning, and software delivery across the enterprise. This role leads a team of platform engineers, architects, and technical specialists who provide the foundational capabilities that power AI innovation, modern application development, and data science initiatives.

Working across a hybrid-cloud environment, with Google Cloud Platform (GCP) as the primary hyperscaler and Azure supporting hybrid workloads and legacy integrations, this leader will drive platform strategy, cloud architecture, developer experience, Dev Sec Ops  maturity, and MLOps capabilities that accelerate the delivery of secure, reliable, and scalable solutions.

Reporting to the Director, AI Technology and Innovation, the Manager, Platform Engineering & Data Science will collaborate closely with experts in AI Engineering, Data Science, Product, Architecture, and IT to modernize technology platforms, improve engineering efficiency, and enable teams to move rapidly from experimentation to production while delivering measurable business value.

Location:

This role is approved to be either Remote within the United States or Hybrid for associates in Newport News, VA, in accordance with company policy.
*
* Duties and Responsibilities:

*** Lead, coach, and develop a high-performing team of platform engineers, architects, and technical specialists.
* Define and execute the platform engineering, cloud, and data science roadmap in support of Ferguson's AI and technology strategy.
* Design, build, and optimize scalable, secure, and reliable platform capabilities across Google Cloud Platform (GCP) and hybrid-cloud environments.
* Partner with AI Engineering, Data Science, Product, and Architecture teams to enable the development, deployment, and operation of AI and machine learning solutions.
* Drive Dev Sec Ops , CI/CD, infrastructure automation, and platform reliability standards to improve delivery speed, quality, and operational efficiency.
* Own and enhance MLOps and data science platform capabilities, supporting model development, training, deployment, and monitoring at scale.
* Establish engineering standards, architecture patterns, API strategies, and reusable platform services that accelerate software delivery.
* Lead platform modernization initiatives, including cloud adoption, developer experience improvements, automation, and legacy technology retirement.
* Manage project delivery, budgets, vendor relationships, and team capacity to ensure successful execution of critical initiatives.
* Supervise platform performance, security, availability, and scalability while proactively identifying and mitigating risks.
* Build strong partnerships with business and technology leaders to align platform investments with organizational priorities.
* Stay ahead of…