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Grainger Businesses

Sr Product Manager

CHICAGO, IL, United States

The anticipated base pay compensation range for this position is $134,100.00 – $223,500.00.

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Job details

Pay: The anticipated base pay compensation range for this position is $134,100.00 – $223,500.00.
Experience: 7+ years experience as a Data Product Manager or related occupation.
Posting language: English
Posted: Nov 2, 2026

Original job description

Work Location Type: Hybrid

Req Number 336492

About Grainger

W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com.

Compensation

The anticipated base pay compensation range for this position is $134,100.00 – $223,500.00. This role is eligible for an incentive target of up to 20 %, based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change.

Position is not eligible for visa sponsorship.

Rewards and Benefits

With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:

Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

For additional information and details regarding Grainger’s benefits, please click on the link below:

https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire

Grainger Benefits

The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.

The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.

Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.

Position Details:

We are looking for data product managers to help guide and chart a course for Grainger's enterprise data so that Grainger continues to be the destination for "the ones that get it done". The Senior Product Manager contributes to the data product strategy, vision, and roadmap of future products, with high degree of ownership over critical features and the customer experience. You will work with engineering, design, and operations to develop and launch innovative aspects of a product. You are creative and highly analytical, able to work in a matrix organization, can synthesize a variety of technologies and capabilities into products and applications that customers love. You will work on a hybrid basis out of our Chicago, IL office.

You Will:

• Own and evolve a portfolio of trusted, reusable data products that enable confident decision-making and generate actionable insights for Grainger teams and customers.

• Collaborate with Grainger’s product teams to deliver scalable, high-impact data products that support visibility, automation, AI and Machine Learning use cases while uploading enterprise data governance and standards.

• Expand the North America eCommerce platform by adapting the existing product catalog tool to support operations, ensuring a seamless user experience.

• Collaborate with Grainger’s product teams to operationalize the integrated North America eCommerce platform, ensuring the product catalog tool is optimized for both US and Canada markets.

• Leverage data-driven insights to develop business strategies and actionable recommendations that drive competitive advantage for Grainger, focusing on customer needs, market trends, and operational efficiencies.

• Identify and prioritize customer and internal team requirements, translating them into a clear product roadmap and detailed specifications that guide the development and evolution of the eCommerce platform.

• Guide team of engineers through structured work, provide ample business context and establish shared ownership of outcomes.

• Lead, communicate & coordinate product launches across all partners including business, product and engineering teams with consideration of schedule, risk management, escalation of issues and balances tradeoffs.

• Facilitate product review discussions with C-Suite executives, landing the appropriate message for the audience.

• Partner with the analytics, UX, peer PMs and operational business leaders to deliver quality capabilities in a consistent cadence of releases and measure the business impact.

You Have:

• Bachelor's Degree

• Master's Degree preferred

• 7+ years experience as a Data Product Manager or related occupation. Experience must involve directing agile sprint team, working with design, analytics, AI/Machine Learning teams and business stakeholders and include demonstration of superior process design skills and delivering working software. preferred

• Demonstrated experience designing solutions to complex problems and delivering results by conceptualizing, building, or substantially modifying enterprise data capabilities preferably geared towards a B2B customer.

• Continuous improvement and innovation mindset that results in the understanding of latest technologies.

• Guide team members to accomplish outcomes.

• Ability to function with ambiguity and within a matrix organization and operate on a tight schedule.

• Problem solving & planning capabilities along with creative time management skills, high degree of ownership and help impact teams to act with urgency.

• Strong analytical and quantitative skills; ability to use hard data and metrics to back up assumptions when developing & presenting business cases to executive leadership and stakeholders.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.

We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.

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More about this job

Skills

Decision making
Risk management
Machine learning
Design process
Process improvement
Problem solving
Time management

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