AI and Data Governance Consultant – Lead

Data Wow Co., Ltd.

. Assess clients' current AI estates, including models in use, approvals, data access, and gaps between policy and practice .

Posted 9/26/2026full-timePathum Wan • ThailandSeniorWebsite

About the role

Key responsibilities & impact

Assess clients' current AI estates, including models in use, approvals, data access, and gaps between policy and practice
Design AI governance operating models covering model inventories, risk classification, approval gates, human oversight, monitoring, and incident handling
Lead readiness and gap assessments against ISO/IEC 42001, the EU AI Act, the NIST AI Risk Management Framework, and Thai regulatory expectations
Develop sequenced remediation plans
Conduct AI risk assessments for generative and LLM-based applications, including bias, fairness, explainability, data provenance, third-party dependencies, and failure modes
Create AI policies, acceptable use standards, model documentation templates, risk registers, and committee terms of reference
Prepare and support clients through certification audits and regulatory or enterprise-customer scrutiny
Establish data governance foundations covering ownership, stewardship, classification, lineage, retention, and quality
Connect governance requirements to data flows in client platforms, collaborating with data engineers
Align governance design with PDPA and, where relevant, GDPR, in partnership with privacy and legal functions
Own engagements end to end, including scope, planning, workshops, deliverables, and executive read-outs
Build trust with senior stakeholders and provide principled advice
Support commercial teams with scoping calls, proposals, pricing, and technical pitches
Develop repeatable service offerings, assessment methods, and templates
Represent Data Wow through client briefings, industry events, and written material on AI governance in Thailand
Coach consultants and engineers on governance practices

Requirements

What you’ll need

5+ years in consulting, risk, compliance, data governance, or a related advisory function, including at least 2 years focused on AI, data, or technology governance
Direct experience leading client engagements: setting scope, managing stakeholders, and presenting to executives without a partner in the room
Working command of at least one AI governance framework such as ISO/IEC 42001, the EU AI Act, or the NIST AI RMF, applied in practice
Solid grounding in data governance disciplines: ownership models, classification, lineage, quality, and retention
Technical fluency to discuss with data scientists and engineers how models are trained, deployed, and monitored
Familiarity with PDPA and how privacy obligations interact with AI systems
Clear written and spoken English and Thai
Comfort with ambiguity
Experience in a Big Four practice, boutique consultancy, or in-house governance function at a regulated enterprise
Certifications such as ISO/IEC 42001 Lead Auditor or Lead Implementer, ISO 27001 Lead Auditor, CIPP/E, CIPM, or CDMP
Sector depth in financial services, healthcare, or energy
Hands-on exposure to MLOps tooling, model monitoring, or LLM evaluation
Track record in business development, including proposals you wrote that were won
Published writing or speaking on AI governance, data ethics, or privacy

Benefits

Comp & perks

Hybrid Working options with Flexible Working Hours
Your Choice of Gear: Mac or Windows? You pick your preferred work equipment
Comprehensive Group Health Insurance
Monthly Grab Transportation credits
Job-related training courses and certificate fee coverage
10+ days of annual leave
Free snacks and drinks available at the office