iTmethods

iTmethods is a 20+ year enterprise technology company transforming into an AI-native platform company. We currently serve over 100 enterprise customers across multiple regulated industries. We are building an AI Governance product needed by enterprise companies in regulated industries such as financial services, defense, pharma, healthcare, and semiconductors. Reign - Enterprise AI Governance Platform. Real-time policy enforcement for every LLM call and AI agent interaction. Trust, compliance, and data sovereignty. Forge - DevOps managed services platform for regulated enterprises. BioCompute - Life Sciences AI platform for pharma and biotech. The EU AI Act high-risk obligations take effect in August, 2026. Enterprises need production-grade AI governance now. Reign delivers true runtime policy enforcement and AI governance.

VP of Delivery, AI Governance

Artificial IntelligenceArtificial IntelligenceFull TimeRemote

Location

United States

Posted

5 days ago

Salary

Not specified

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

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.

  • Act as a builder and head of the delivery function with the ability to scale in the AI-native organization.
  • Lead an existing team of delivery professionals while architecting a new delivery model (embedded, outcome-based, value-priced).
  • Shape how iTmethods’ platform is delivered to customers and how value is measured, priced, and captured.
  • High impact work that will directly shape the company’s trajectory and future.
  • Foundational hire with a compensation package that includes 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.

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 an 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.

Qualifications

  • 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.
    • 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.

Nice To Have

  • 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.

Benefits

  • Strong compensation package (base salary, annual performance bonus, equity).
  • Extended health/dental benefits plan.
  • Learning budget for professional development.
  • Remote work model.

Company Description

iTmethods is a 20+ year enterprise technology company transforming into an AI-native platform company. We currently serve over 100 enterprise customers across multiple regulated industries. We are building an AI Governance product needed by enterprise companies in regulated industries such as financial services, defense, pharma, healthcare, and semiconductors.

  • Reign - Enterprise AI Governance Platform. Real-time policy enforcement for every LLM call and AI agent interaction. Trust, compliance, and data sovereignty.
  • Forge - DevOps managed services platform for regulated enterprises.
  • BioCompute - Life Sciences AI platform for pharma and biotech.

The EU AI Act high-risk obligations take effect in August, 2026. Enterprises need production-grade AI governance now. Reign delivers true runtime policy enforcement and AI governance.

Job 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.
  • 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.
  • Nice To Have
  • 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.

Benefits

  • Strong compensation package (base salary, annual performance bonus, equity).
  • Extended health/dental benefits plan.
  • Learning budget for professional development.
  • Remote work model.

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