Senior Engineering Manager, Product Engineering

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money.

We're looking for passionate people who can move our company forward. We have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.

Position Details:

We are looking for a Senior Engineering Manager in our Customer Information Management: Intelligence (CIM Intelligence) domain, to manage and guide the development of the platform. You will guide the Product vision, roadmap and its delivery to reality. You will partner with our Product management and Architecture team in ideation, solution design and lead the platform delivery for overall value generation.

You will have experience designing on the public cloud, success in building products from scratch, and a base in data engineering and business analytics. You will report to the Director, Product Engineering (Customer Domain) and can be based either in downtown Chicago or Lake Forest, Illinois.

You Will:

• Lead an experienced team of data engineers, data scientists and BI/visualization experts
• Build upon a top-tier technology stack, in expansion and evolution of additional features and capabilities
• Form partnerships with stakeholders and product organization to influence the use of modern practices, governance and quality

You Have:

• Minimum 5+ years of people leadership experience
• Minimum 5+ years of experience designing and building on the public cloud (AWS, GCP or Azure)
• Experience leading a team of engineers in a modern data and analytics platform
• Experience with Data Modeling, Cloud-based data warehouse solution, Python, DBT, Airflow in a Data Engineering capacity and PowerBI, Tableau for BI and analytics.
• Experience with data science / machine learning algorithms, model development and running them into production system.
• Experience with traditional and modern Data Warehouse principles and practices
• Bachelor's Degree in Computer Science, Engineering, related disciplines or equivalent work experience.

Rewards and Benefits:

With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice and flexibility to meet our team members' individual needs. Check out some of the rewards available to you at Grainger

• Medical, dental, vision, and life insurance plans
• Paid time off (PTO) and 6 company holidays per year
• Automatic 6% 401(k) company contribution each pay period
• Employee discounts, parental leave, 3:1 match on donations and tuition reimbursement
• A comprehensive set of emotional, financial, physical and social wellbeing programs