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AI Governance Advisor - COBIT , PCI DSS, SOX ITGC & GDPR compliance || Hybrid-Calgary/Edmonton, Canada

Hiring from
Canada
Work type
Hybrid
Posted
Oct 1, 2026
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AI Governance Advisor - COBIT , PCI DSS, SOX ITGC & GDPR compliance

Hybrid-Calgary/Edmonton, Canada

Long Term Contract

2 INTERVIEWS



Must-Have Skills

  • 10+ years GRC & Governance experience
  • Deep COBIT framework knowledge and implementation
  • AI Governance & Risk Management
  • PCI DSS, SOX ITGC & GDPR compliance
  • Canadian Privacy: PIPA, PIPEDA & FOIP
  • AI/Agent Governance: promotion, approval, version control & repositories
  • CI/CD Compliance Integration and automated governance controls
  • Power BI / Microsoft Fabric dashboard and reporting experience
  • AI Cost & Spend Monitoring
  • Risk Assessment & Mitigation
  • Policy Development & Governance Framework Design
  • Board/Committee Advisory experience
  • Risk-Benefit Analysis & Decision Support
  • Ability to balance AI innovation with security, privacy and regulatory risk

Project Overview:

  • looking to transform how its Technology and Data organization delivers software by embedding AI across requirements, design, development, testing, release, and sustainment.
  • This is not simply an AI-tool rollout. It is an operating-model and delivery transformation focused on improving speed, quality, and consistency while maintaining strong governance, auditability, and human accountability.
  • The initiative is a multi-phase transformation program designed to embed AI capabilities across the Software Development Life Cycle (SDLC) while maintaining strong governance, privacy, security, and regulatory compliance.
  • The objective is not simply to deploy AI tools, but to redesign how technology teams work by integrating AI into workflows, decision-making, documentation, testing, architecture, data, and delivery processes.
  • The engagement is structured around helping progress from a relatively early AI maturity state ("Stage 2 - Off the Shelf") toward more integrated and governed AI adoption ("Stage 3 - Task-Level Integration"), with a longer-term path toward workflow orchestration and enterprise-scale AI-enabled delivery.
  • The Governance Advisor designs and implements the governance framework that makes enterprise-scale AI adoption measurable, safe, and compliant — turning "we trained people" into "here's the dashboard showing velocity improvement, acceptance rates, spend-to-output ratios, and compliance agents running in the delivery pipeline. Designs and operationalizes AI governance frameworks that align with COBIT-based governance model and regulatory requirements. Ensures AI adoption remains compliant, secure, and auditable.
  • Design governance frameworks with all six components operational before program go-live
  • Develop AI usage policies: tool-to-data-environment mapping, permission scoping per team, zero-retention configurations for regulated workflows
  • Design agent promotion board structures: review cadence, promotion criteria, evaluation rubrics, three-tier repository classification
  • Design compliance agent integration with CI/CD pipelines (compliance checks as pipeline gates, not separate processes)
  • Design PCI-active agent frameworks (run on every commit touching PCI-scope code, flag issues at commit time)
  • Design SOX audit trail generation (AI-assisted changes tagged at commit level with traceable attribution)
  • Design GDPR data classification layers across AI tool call chains
  • Integrate governance dashboards with client BI platforms (Microsoft Fabric, Power BI, or equivalent)
  • Plan passive-to-active compliance transitions for regulated clients
  • AI governance model design aligned to COBIT framework
  • Policy development and governance playbook creation
  • AI review board structure and approval workflow design
  • Risk assessment and mitigation strategy for AI-assisted workflows
  • Compliance integration (PIPA, PIPEDA, FOIP)
  • Governance framework validation during pilot
  • Governance scaling strategy for enterprise Phase 3 deployment
  • Training governance participants and decision-makers

Required:

  • Experience with regulatory compliance frameworks: PCI DSS, SOX IT General Controls, GDPR
  • Experience with BI/dashboard platforms (Microsoft Fabric, Power BI, or equivalent)
  • Experience designing agent governance: promotion processes, version control, repository structures
  • Understanding of CI/CD pipeline integration for automated compliance checks
  • Knowledge of AI tool cost structures and spend monitoring
  • Governance, Risk, Compliance (GRC) background (10+ years)
  • Deep COBIT framework knowledge and implementation
  • Canadian privacy regulations (PIPA, PIPEDA, FOIP)
  • AI governance and risk frameworks
  • Board and committee advisory experience
  • Policy development and institutional design
  • Risk/benefit analysis and decision support
  • Ability to balance innovation with risk management

Nice to Have:

  • Experience with enterprise-scale AI or DevOps transformations
  • Familiarity with the IIOS Stage Framework and DLP program structure
  • Experience designing audit-ready artifact generation systems
  • Privacy, legal, or compliance background
  • Experience with healthcare regulations and privacy legislation
  • Responsible AI framework implementation experience
  • COBIT, NIST, ISO 27001, or SOC2 experience
  • Risk management certifications
  • Experience establishing AI review boards
  • Change governance and policy development experience

For specifically, their concern around guardrails, accountability, and healthcare privacy makes this role particularly valuable.





– Theodore Roosevelt

Sayantan Das | Senior Tech Recruiter

E: sayantan@veritosolutions.com

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