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 and resources, and oversee project plans.

• Manage the lifecycle of data products and the assets created with them, accounting for changing business requirements, industry best practices, and competitor capability.

• Mentor team members and partners on technical skills, best practices, problem-solving approaches, and standard patterns used at GXO Logistics—both formally in structured group settings and informally in one-on-one and small group sessions

• Knowledge and accountability for compliance with GXO Project Development, GDPR, and SOX controls.

• Vendor management including relationship management, product roadmap, support issue resolution, and support contract negotiations.

What you need to succeed at GXO:

• Bachelors's or Masters degree in computer science, artificial intelligence, machine learning, data Science, or related.

• 8+ years experience in a fast-paced business intelligence and analytics development environment. 

• 4+ years experience leading teams of professionals.

• 4+ years of experience with cloud-based platforms and services, such as AWS, GCP, or Azure.

• Certification in Snowflake administration or cloud technologies (e.g., Snowflake Certified - SnowPro, AWS Certified Solutions Architect, etc.) Preferred

• Solid understanding of BI / Data Warehouse / Data Lake concepts, including patterns for time variance and generic vs. explicit data structures, standards-based approaches for object names and data types, and using logical data models to document and explain business objectives

It’d be great if you also have:

• In-depth understanding of concepts like security measures, including Role-Based Access Control (RBAC), and compliance in a cloud environment, resource monitors, Virtual warehouse, query performance tuning, etc.

• Expert in analyzing large, complex, multi-dimensional datasets with data querying languages (e.g. SQL), cloud platforms (AWS, Azure, or Google Cloud Platform), BI Tools (MicroStrategy, PowerBI, Tableau, etc.), programming languages (e.g. Python, Java, Scala, etc.), statistical/mathematical software (e.g. R, Weka, SAS, Matlab)

• Solid knowledge of data governance, data quality, and compliance requirements.

• Ability to use best practices and principles in SQL, query design, data validation/automation, analytic functions and understand differences between various database architectures and implementations

• Knowledge of Generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs

• Experience with machine learning, such as k-nearest neighbors, random forests, ensemble methods and their corresponding implementation packages in R (Caret, RandomForest, Rweka, etc.), Python (SciKit-Learn, TensorFlow, Keras, NLTK, etc.)

• Expert analytical/problem-solving skills to find patterns and insights within structured and unstructured data, and to propose and implement analytical solutions that challenge the status quo and unlock previously unavailable business value.

• Ability to navigate ambiguity effectively, maintaining momentum during periods of incomplete direction, and asserting alignment and expectations as necessary to mitigate uncertainty

• Understand agile scrum methodology and use agile life cycle management tools, such as Jira

We engineer smarter, faster, leaner supply chains.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.