Senior Manager, Data Engineering - Remote

Logistics at full potential.

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires.

You know that a positive work environment creates happy employees, which boosts productivity and dedication.

On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

Logistics at full potential.

As the Sr.

Manager, Data Engineer, you lead our data engineering team to drive the organization's strategic vision of data management and analytics initiatives.

The ideal candidate will have a solid technical background in data lake architecture and product data management and extensive experience managing and delivering successful data analytics products.

The role will lead and guide the data engineering team in developing and implementing data strategies, managing data collection, analyzing data, and presenting insights to stakeholders.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan.

What you'll do on a typical day:



* Lead data lake strategy and analytics initiatives to drive end-to-end architecture while adopting emerging technologies & platforms with solution designs that leverage statistical approaches, machine learning, and related disciplines to deepen our understanding of the business drivers & achieve strategic objectives.


* Engage with organizational stakeholders to align priorities, communicate solution design trade-offs and recommendations, and build and execute development plans.


* Define and implement a scalable and efficient data lake architecture that supports the storage, processing, and analysis to deliver data products.

Collaborate with technology and architecture teams to ensure alignment with enterprise architecture standards.


* Oversee the design and implementation of robust data integration processes and pipelines for ingesting and transforming product data.

Ensure seamless data flow across the organization and optimize data processing workflows


* Champion standardization, integration, and ubiquity of analytical tools and processes while continuously improving the quality and usability of data assets.


* Manage product roadmaps and iterative development cycles across multiple teams to foster collaboration and engagement.


* Establish a culture of collaboration and excellence across business data, insights, and integration teams, ensuring quality and velocity.


* Implement monitoring mechanisms to track the performance of the data lake and associated systems.

Proactively identify and address performance bottlenecks, optimizing the overall efficiency of data processing


* Manage team budgets, authorize expenditures, monitor allocation a...