VP of Delivery, AI Governance

Klass

7d•Remote

About The Position

We are looking for an experienced professional to lead customer delivery of AI Governance solutions to enterprise clients in multiple regulated industries. We are building an outcome-based delivery model. This is not a traditional professional services leadership role. The person in this role will architect an outcome-based delivery model from scratch. You’ll act as a builder, and the head of the delivery function with ability to scale in the AI-native organization we are creating. The role requires the flexibility to lead an existing team of of delivery professionals, while simultaneously architecting the new delivery model (embedded, outcome-based, value-priced) that includes measurable business results for regulated enterprises adopting governed AI and modern DevOps solutions. This role will shape how iTmethods’ platform is delivered to customers and how value is measured, priced, and captured. iTmethods has a startup mindset, backed by over 20 years of operating credibility, and strong enterprise customer relationships. The work you will do at iTmethods will be high impact and will directly shape the company’s trajectory and future. This is a foundational hire, not a backfill. The compensation package reflects that, including equity participation structured for value creation. Your first 90 days will include: stand up delivery playbooks for the Enterprise AI Governance Platform including onboarding frameworks, success metrics, and value pricing. Work closely with the CRO to close enterprise customers. Manage and evolve the existing professional services business. Start building a high performance team.

Requirements

Designed and built an outcome-based, value-priced, or embedded delivery model - not just managed T&M or fixed-fee engagements
Experience with AI Governance - your prior work experience could include: a Big 4 AI risk practice, an AI governance position at a regulated enterprise, a role at an AI GRC platform/technology company, or a Responsible AI function at a Hyperscaler
AI-native work habits: you use Claude, Cursor, Copilot, or similar tools daily and can show real examples (ie. prototypes, automations, workflows) you have personally built
Regulated industry experience in 1 or more of the following industries: financial services, pharma/life sciences, defense, healthcare, or semiconductors
Familiarity with compliance frameworks: EU AI Act, CMMC, FedRAMP, HITRUST, FDA 21 CFR Part 11, ITAR
Enterprise sales chops - you can lead conversations with CISOs and CFOs, and assist to close large engagements
A builder - your first instinct is to create, prototype, and iterate, not to reach for process and structure
Strategic but hands-on - you can roll up your sleeves
Scrappy - you move fast, operate in ambiguity, and don’t wait for perfect information
Obsessed with customer outcomes
Comfortable in a startup/scale-up environment

Nice To Haves

Understanding of the EU AI Act high-risk obligations and how governance platforms automate compliance
Experience with runtime AI governance, API gateway architectures, or network-layer policy enforcement
Familiarity with MCP (Model Context Protocol) or agent-to-agent governance patterns
Led a business model transformation in a prior role
Built something from zero inside an established company (ie. a new function, product, or business line)
DevOps, platform engineering, or infrastructure background

Responsibilities

Build & Lead the AI Governance Delivery Practice
Design the end-to-end AI Governance Platform delivery model: engagement structure, onboarding playbooks, embedded deployment, escalation paths, and success metrics
Build delivery capabilities across the product roadmap (AI Gateway, MCP Hub, Governance Platform)
Design value pricing frameworks that quantify governed AI outcomes in terms that enterprise buyers understand
Develop reference architectures, maturity assessments, and trust frameworks that become repeatable, sellable IP
Build MCP and agent-to-agent (A2A) governance delivery capabilities as new product modules launch
Translate compliance requirements into scalable delivery IP: EU AI Act, CMMC, FedRAMP, HITRUST, FDA 21 CFR Part 11, ITAR
Recruit and develop AI governance delivery specialists
Manage & Evolve Existing Services Function
Own the existing professional services portfolio (both one-time engagements and recurring revenue) ensuring delivery quality and client satisfaction
Transition existing enterprise customers onto new product modules as they launch
Maintain the financial discipline of a bootstrapped company: forecasting, margin management, and resource planning
Enterprise Sales
Co-lead (with the CRO) enterprise sales conversations with CISOs, Chief AI Officers, and CFOs
Articulate the governed AI value proposition and close value-priced engagements
Drive expansion and renewal through embedded delivery that creates measurable customer value
Shape go-to-market strategy for outcome-based delivery alongside the CRO and CTO
Build and AI-Native Culture
Operate as an AI-native leader - using AI tools daily to amplify output, decision-making, and team productivity
Recruit, develop, and retain team members who create with AI, not just manage AI projects
Push AI-native operating norms throughout the delivery organization