VP of Data

External

Stord · Hq - Atlanta, GA

Full-timeOn-siteToday

BigQueryElasticsearchLeadershipMoveSalesforceTimescaleDB

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About the role

Stord is the commerce enablement platform that powers billions of dollars in commerce and millions of orders for some of the world's leading brands. We sit at the intersection of physical operations and software - running fulfillment centers, parcel networks, and the software that ties it all together. Data is the thread that connects every part of that system. We've made serious investment in our data platform over the past year - connecting all our core systems, building a modern cloud-native architecture, and standing up analytics capabilities that are already changing how we make decisions. Now we're ready to take the next step: building a world-class internal data organization and making Stord an AI-first data company. This is a greenfield leadership opportunity for someone who wants to own it. You'll be the first VP of Data, reporting directly to the SVP of Product & Engineering, inheriting a small but capable team, and setting the direction for how data powers Stord's next phase of growth.

Responsibilities

Data strategy and platform - Define and own Stord's data architecture and roadmap. We have a distributed technology footprint across BigQuery, Fivetran, Datastream, ClickHouse, TimescaleDB, and Elasticsearch - you'll rationalize and consolidate this into a coherent, scalable platform.

Team build-out - You'll inherit an existing team of engineers and analysts and grow it into a full-scale data organization spanning data engineering, analytics & BI, and decision science. This is your team to shape.

AI-first data access - Build a platform where every employee and every customer-facing product can access Stord's data naturally and intelligently - not through dashboards and support tickets, but through AI that understands the business. This is central to our product strategy.

Adoption - Ensure the data platform is actually used. Move Stord from data-available to data-driven. This matters as much as the infrastructure itself.

Decision Science - Establish a decision science function that drives operational improvements and cost reductions through proactive, model-driven insights.

Governance and trust - Establish the standards, quality frameworks, and SLAs that make data a reliable foundation for the business.

What Success Looks Like in Year 1

By the end of your first year, you will have built the team, completed the platform, and started delivering impact. Specifically:

The internal data team is fully staffed and high-performing - data engineering, analytics & BI, and decision science functions are in place and operating well

Our data platform transformation is complete - all core systems integrated, legacy reporting tools retired, and every function in the business working from a single source of truth

An AI-first data platform is live - both our customers and our internal teams can access Stord's data through natural language, not just dashboards

Decision science is established and showing measurable impact - cost reductions or operational improvements that the business can point to

Year 2 is about compounding that foundation and expanding what's possible.

VP of Data

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