Head of AI Transformation

At Outform Group, our guiding philosophy is Dare To Innovate.

Outform Group specializes in creating tangible consumer engagements that elevate, connect and humanize brand experiences. We unite leading experts in research, strategy, design, innovation and manufacturing, who work together to create unforgettable brand experiences.

Lean, interdisciplinary teams work in close collaboration with clients, helping them to solve their user’s biggest problems. Our user‑centric, data‑driven approach focuses on creating a seamless experience across different environments.

The Head of AI Transformation is responsible for fundamentally rethinking how our business operates—across estimating, finance, operations, design workflows, sales operations, tooling, reporting, and communication—by applying practical, production‑grade AI. The Head of AI Transformation will systematically identify where AI can automate work, eliminate redundant tools, compress cycle times, improve decision quality, and expand margin. This role is not about incremental improvement – it is about reimagining systems, workflows, and decision‑making using AI—often replacing existing tools, processes, and assumptions entirely.

This role operates independently but works collaboratively across all functions, with direct access to the CEO, and the mandate is to question everything.

• Rapidly audit how Outform operates across estimating, finance/reporting, sales ops, design workflows, project management, manufacturing interfaces, and delivery.
• Map manual work, repetitive decisions, tool overlap, spreadsheet dependencies, and failure points at scale.
• Produce an AI Opportunity Map with ranked opportunities by speed‑to‑impact, ROI, and risk.
• Maintain a Kill List of tools, workflows, and reports to eliminate or replace.

• Prototype and deploy AI‑powered solutions including internal tools, automations, agent‑based workflows, and lightweight services that can evolve into production systems.
• Facilitate and/or oversee the replacement of legacy workflows, scripting away manual/repetitive steps and consolidating or removing redundant software.
• Demonstrate a bias to action: favor working software and measurable value over decks and prolonged consensus‑building.

• Move pilots into production with simple, supportable runbooks; instrument solutions for reliability, observability, and maintainability.
• Define a pragmatic AI Operating Model (where AI is mandatory; where humans remain in the loop).
• Establish lightweight internal standards for prompt/version management, data handling, and credential security; partner with technology leaders without becoming dependent on them.

• Introduce new ways of working (not just new tools) with concise SOPs, training, and quick guides.
• Capture before/after metrics, publish wins, and foster a builder culture across teams.
• Challenge legacy assumptions respectfully but directly; operate across org boundaries without being bound by them.

• Tie every initiative to business outcomes: hours eliminated, cycle‑time reduction, cost savings/avoidance, margin expansion, and accuracy lift.
• Maintain a live portfolio of initiatives with clear ROI, scale potential, and sunset criteria.

• Hours eliminated/automated per month (baseline → trend)
• Cycle time reduction for key flows (e.g., estimating, approvals, reporting)
• Cost savings / cost avoidance (verified by Finance)
• Margin improvement driven by faster, better decisions
• Tools eliminated or consolidated (license count and spend reduced)

• Accuracy improvements (e.g., pricing, forecasting error reduction)
• Reduction in manual errors and rework
• Adoption rate and weekly active use of AI‑enabled workflows
• Idea → production lead time (mean/median)

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Design Engineering, or related field or equivalent, demonstrable experience building and shipping internal tools/automations.
• Advanced degree welcome but not required; evidence of hands‑on capability is…