Sr. Data Product Manager

Company Summary

Zoro.com is a leading eCommerce platform offering nearly 12 million tools, parts and supplies for our business customers. Launched in 2011, we brought a B2C-like experience to the B2B industry, and continue to be at the forefront of digital innovation at the intersection of technology and distribution. We have rapidly grown to over $1 billion in annual revenue and we’re just getting started!

Primary Function

As part of our highly impactful Data & AI group, the Senior Data Product Manager (Sr. DPM) will lead high-priority or complex data products to enable Zoro’s product data in our warehouse, as well as aid our business groups to leverage AI to cleanse and enrich our product at scale.

They exhibit business savviness by empathizing and collaborating with business partners to help them achieve their business goals and to ensure alignment with broader organizational goals.  They have aptitude for technology and can communicate and work effectively with data engineers, data scientists and analysts and be able to evaluate the product’s performance over time.  They are customer obsessed and continuously identify opportunities and pain points to ensure that the data products implemented are valuable for the customer in measurable ways.  They are accountable for end-to-end success, from identifying opportunities to driving adoption and impact at scale.  

This role will be based out of our Chicago HQ and will have an onsite requirement of 2 days a week.

Duties & Responsibilities

• Product Discovery:  Identify and document user pain points, define desired outcomes, and evaluate value, feasibility, and risk to determine whether and how to proceed. Collaborate with customers and stakeholders to quantify value and identify measurable goals.
• Product Planning & Delivery: Define success and write clear requirements; partner with technical teams to deliver scalable solutions while monitoring performance and usage after launch.  Own the product backlog, make prioritization decisions, and define the product roadmap.  Understand where to be prescriptive vs. collaborative in requirements (e.g., prescriptive about data logic, collaborative on schema/design).
• Customer Obsession: Deeply understand user workflows and product adoption patterns, and maintain feedback loops to continually improve the product experience.  Understand upstream/downstream lineage and how changes affect users.
• Adoption & Evangelism: Ensure effective product use through clear documentation, education, and partnership with business leads and change agents. Educate and influence users on proper usage and caveats.
• Governance & Compliance: Identify privacy, regulatory, and compliance risks, and collaborate with governance experts to ensure products meet all required standards.

In Addition, Senior DPMs Also:

• Identify opportunities that span across teams, domains, or business units and drive alignment to solve them.
• Influence prioritization across multiple stakeholders and resolve conflicts to enable delivery.
• Shape and champion long-term vision for their product(s), including roadmap, strategic partnerships, and evolving scope.
• Represent their product(s) in senior leadership forums and provide regular updates on progress, blockers, and success metrics.
• Lead key initiatives for governance, scalability, or platform enhancements that benefit other data products.
• Formalize or improve standards, documentation, and onboarding for product management best practices.
• Mentor, support, and coach other Data Product Managers and analysts transitioning into product roles.

Qualifications

Knowledge & Technical Skills

• Proficiency in SQL and data profiling techniques.
• Understanding of data pipelines, data modeling, data testing, and data lineage.
• Understanding of ML and AI capabilities.
• Familiarity with A/B testing frameworks and experimentation methods.
• Awareness of data governance, privacy, and compliance frameworks as they apply to data products.
• Ability to interpret product usage trends and extract leading indicators of success.

Core Competencies