VP, Reasoning Systems

The opportunity:

Enterprises are shifting from using data for insight to deploying AI for continuous, high-stakes operational decisions. In many core functions, such as manufacturing operation, supply chain, and financial risk, decision logic has long escaped core systems into fragile custom code and manual processes. Agentic AI intensifies the pressure to change — but also exposes the limits of existing architectures: agent sprawl, rising costs, governance risk. Adding agents on top of legacy workflows does not scale.

This creates a new category above agents: Reasoning Systems — domain-specific, end-to-end decision processes that orchestrate data, models, rules, agents, and human judgment around explicit business workflows. Dataiku is uniquely positioned to lead it: already embedded at the data and ML layer of complex, regulated environments, operating as an open control plane across systems, clouds, and AI stacks.

The role:

Dataiku is hiring a VP of Reasoning Systems to scale this business unit based on newly released products. This is a function across Strategy, Product, Marketing, Sales, and Operations. You will define the category, design the go-to-market and delivery model, and run the business with full accountability for growth.

Directly, you will lead a team of 10+ seasoned Industry Solutions leaders— domain experts already embedded with customers across manufacturing, supply chain, and financial risk. Indirectly, you will benefit and leverage the exceptional talent in Dataiku data science, AI Engineering, and Software Engineering teams to build the best product and customer experience.

Given the long term perspective we associate with this activity you will report to the Product organization, with significant direct work with the CEO of the company, and other C-level executives.

What you will do:

• Define the category
  Own Dataiku's Reasoning Systems vision, positioning, and narrative — internally and with customers, analysts, and the market.
  Set vertical priorities (Manufacturing Operations, Supply Chain, Financial Risk first) and the framework for expanding to new domains.
  Be the external face of the category: executive briefings, keynotes, analyst engagements.
• Lead the Go-To-Market
  Design the pilot-to-system commercial model: time-boxed pilots with upfront conversion criteria tied to production pricing.
  Define the buyer profile (CIO, COO, Domain Leaders), funding sources, sales plays, and qualification criteria. Launch with existing customers; expand once repeatability is proven.
• Build the Delivery Model
  Define the engagement model combining productized orchestration, governance, and human-in-the-loop control with structured services generating repeatable, scalable assets.