Domo Appoints Ben Schein as Chief AI and Analytics Officer — Accelerating the Shift From AI Pilots to AI Execution
Domo (NASDAQ: DOMO) has announced the appointment of Ben Schein as its new Chief AI and Analytics Officer — a role that reflects the company's expanding focus on helping customers deploy AI-powered applications and agents and continuing its own internal transformation using AI and analytics. The appointment elevates one of Domo's most experienced leaders into a position that sits at the intersection of the company's strategic direction and its most pressing customer challenge: moving organisations from AI ambition to AI execution.
Schein joined Domo in 2018 and has since held senior leadership roles spanning product and analytics. In his new role, he will lead Domo's internal AI and analytics transformation while simultaneously contributing to the company's efforts to deliver AI-powered solutions to customers — embedding AI across sales, marketing, finance, and product development, and using Domo's AI-powered applications and agents to automate workflows and improve execution at scale.
"Most companies have an execution problem more than an AI problem. They've invested in models, but those models aren't connected to the business. Ben has spent years solving exactly this problem — getting data to the right people, in the right form, so it actually changes what gets done. That's what we need to do for our own business and what we help customers do every day."
— Josh James, Founder & CEO, Domo
The Problem Domo Is Solving — and Why Ben Schein Is the Right Leader to Solve It
As organisations have invested heavily in generative AI, a familiar pattern has emerged: models that show impressive results in controlled pilots but never make it into production at scale. The gap between AI ambition and AI execution is not primarily a model problem — it is a data problem and a workflow problem. Models need access to the right governed data. They need to operate within the real workflows where business decisions are made. And they need to do all of this without creating new governance risks or requiring dedicated engineering teams to babysit them.
This is the challenge Domo's AI and Data Products Platform is built to address — and it is the challenge Ben Schein has spent his career working on. At Target, he led enterprise-wide analytics initiatives that scaled from a few thousand users to full enterprise deployment — driving the adoption of timely, granular data into the hands of business teams and embedding analytics into day-to-day decision-making. That experience of taking analytics from specialist tool to operational reality is exactly what the AI execution challenge now demands.
"Most companies are still designing software for humans to navigate. But AI doesn't need dashboards. It needs access to governed data and the ability to act within real workflows. That's the shift we're driving at Domo, both for our customers and within our own business."
— Ben Schein, Chief AI and Analytics Officer, Domo
Ben Schein's Career — From Enterprise Analytics at Target to Domo's AI Era
Before joining Domo, Ben Schein spent nearly a decade at Target as Senior Director of Enterprise Data, Analytics and Business Intelligence — leading large-scale analytics initiatives across merchandising and digital operations at one of the world's largest retailers. His work at Target focused on a challenge that remains central to his thinking: getting timely, granular data into the hands of business teams, and making analytics a natural part of how decisions are made rather than a specialist function operating at the margins of the organisation.
The Headless AI Architecture — Moving Beyond Dashboards
Schein's appointment comes at a moment when Domo is articulating a fundamental shift in how enterprise software should work in an AI-first world. At Domopalooza 2026, the company introduced its Domo Model Context Protocol (MCP) Server and AI agent framework — capabilities that connect external AI models to trusted, business-ready data and enable them to take action across business workflows programmatically.
This represents what Domo calls a headless approach to software — a model where AI agents interact with systems directly through governed connections and defined context, rather than through traditional user interfaces. In this model, the interface is no longer the primary way systems are used. AI can operate directly on data and systems, executing business logic without human navigation of dashboards or reports. The vision is a shift from systems that inform decisions to systems that execute them.
Domo MCP Server — External AI Models Connected to Governed Data
The Domo MCP Server connects external AI models — from any provider — to Domo's governed, business-ready data foundation. This enables AI agents to access accurate, governed data programmatically without requiring data to be exported, duplicated, or transferred to external systems — keeping both the data governance and the AI action layer within a controlled environment.
AI Agent Framework — From Informed Decisions to Automated Execution
Domo's AI agent framework — including AI Agent Builder, AI Toolkits, and a centralised AI Library — allows organisations to build and deploy custom AI agents deeply integrated with enterprise data and workflows. These agents automate processes, augment decisions, and act in real time across functions including sales, marketing, finance, and product development — replacing manual workflow steps with governed, AI-driven execution.
Forward Deployed Engineers — Concept to Working System Without Long Delays
Alongside the leadership appointment, Domo is expanding its team of Forward Deployed Engineers (FDEs) who work directly with customers to design, build, and deploy AI-powered applications and agents tailored to specific business challenges. These teams help connect models to governed data and get solutions running inside day-to-day operations — allowing customers to move from concept to working systems without long delays.
What Schein's Mandate Covers — Inside and Outside the Business
As Chief AI and Analytics Officer, Schein's mandate runs in two parallel directions — internal and external — each reinforcing the other. The dual nature of the role is intentional: Domo is using its own AI and analytics platform to transform its internal operations, and the learnings from that transformation directly inform how the company helps customers navigate the same journey.
Internal AI Transformation
Embedding AI across Domo's own core business processes — sales, marketing, finance, and product development — using Domo's AI-powered applications and agents to automate workflows and improve execution velocity.
Customer AI Deployment
Guiding Domo's broader efforts to help customers build and deploy AI-powered applications and agents on top of governed data — enabling teams to automate processes, augment decisions, and act in real time.
Governed Data Foundation
Ensuring that the data foundation on which AI agents operate is governed, accurate, and business-ready — so that AI can act within workflows with confidence rather than generating unreliable outputs from ungoverned data.
AI Interoperability & Standards
Contributing to broader data interoperability efforts — including Domo's participation in Snowflake's Open Semantic Interchange (OSI) initiative — to help customers go from fragmented data definitions to broadly understood, AI-ready insights.
Key Takeaways
Domo has appointed Ben Schein as Chief AI and Analytics Officer — elevating a seven-year Domo veteran with deep enterprise analytics experience at Target to lead the company's AI transformation inside and out.
Schein's mandate spans embedding AI across Domo's own business processes and guiding customers from AI pilots into production — addressing what CEO Josh James calls "an execution problem more than an AI problem."
Domo's MCP Server and AI Agent Framework — unveiled at Domopalooza 2026 — enable external AI models to connect to governed, business-ready data and act directly within workflows programmatically, representing a shift to a headless AI architecture beyond dashboards.
The appointment is backed by an expanded team of Forward Deployed Engineers who work directly with customers to take AI applications from concept to working production systems — closing the gap between AI ambition and operational reality. Learn more at domo.com.
The appointment of Ben Schein as Chief AI and Analytics Officer reflects a broader shift in how enterprise software companies are organising around the AI era. The C-suite title signals that AI is no longer a product feature or a technology initiative — it is a business transformation challenge that requires dedicated, senior leadership across both the internal operation and the customer relationship. For Domo, whose AI and Data Products Platform is built precisely for this moment, the appointment is a credibility signal and a strategic commitment in equal measure.
To explore Domo's AI and Data Products Platform and learn how it helps organisations move from AI pilots to production, visit domo.com.
