Data Wow Co., Ltd.
Data Wow Co., Ltd.
Data Wow Co., Ltd. is a Thailand-based artificial intelligence and data science company that helps organizations use data to support digital transformation. Its work spans data operations, data architecture and engineering, analytics, machine learning model development, custom AI solutions, and consulting. By combining technical expertise with a practical understanding of business needs, Data Wow turns complex datasets into usable insights and tailored systems designed to improve operational efficiency and support measurable business outcomes.

AI and Data Governance Consultant Lead (Hybrid, Thailand)

Lead client engagements focused on AI and data governance assessments, operating models, and remediation planning. Advise executives on AI risk, compliance, data governance, and regulatory readiness in Thailand.

Description

  • Evaluate clients’ AI environments, including deployed models, approval processes, data access, and policy-practice gaps
  • Create AI governance operating models with model inventories, risk tiers, approval controls, human oversight, monitoring, and incident procedures
  • Lead readiness and gap reviews against ISO/IEC 42001, the EU AI Act, the NIST AI Risk Management Framework, and applicable Thai regulatory expectations
  • Build prioritized remediation roadmaps with clear sequencing
  • Assess risks in generative AI and LLM applications, including bias, fairness, explainability, data provenance, third-party reliance, and failure scenarios
  • Draft AI policies, acceptable-use standards, model documentation templates, risk registers, and committee terms of reference
  • Prepare clients for certification audits and scrutiny from regulators or enterprise customers
  • Build data governance foundations for ownership, stewardship, classification, lineage, retention, and quality
  • Map governance requirements to data flows across client platforms in collaboration with data engineers
  • Coordinate governance approaches with PDPA and, where applicable, GDPR requirements alongside privacy and legal teams
  • Manage engagements from scope and planning through workshops, deliverables, and executive presentations
  • Develop trusted relationships with senior stakeholders and deliver independent, principled guidance
  • Assist commercial teams with discovery calls, proposals, pricing, and technical presentations
  • Create repeatable governance services, assessment approaches, and supporting templates
  • Represent Data Wow in client briefings, industry events, and written content about AI governance in Thailand
  • Mentor consultants and engineers in practical governance methods

Requirements

  • At least five years of experience in consulting, risk, compliance, data governance, or a related advisory discipline, including two or more years focused on AI, data, or technology governance
  • Demonstrated ability to lead client engagements, define scope, manage stakeholders, and present to executives independently
  • Practical working knowledge of at least one AI governance framework, such as ISO/IEC 42001, the EU AI Act, or the NIST AI RMF
  • Strong foundation in data governance practices, including ownership, classification, lineage, quality, and retention
  • Technical fluency for discussing model training, deployment, and monitoring with data scientists and engineers
  • Familiarity with PDPA and its relationship to AI-system privacy obligations
  • Strong written and spoken English and Thai communication skills
  • Ability to work effectively amid ambiguity
  • Experience in a Big Four practice, specialist consultancy, or an internal governance function within a regulated enterprise
  • Relevant certifications may include ISO/IEC 42001 Lead Auditor or Lead Implementer, ISO 27001 Lead Auditor, CIPP/E, CIPM, or CDMP
  • Industry experience in financial services, healthcare, or energy
  • Hands-on experience with MLOps tools, model monitoring, or LLM evaluation
  • Proven business-development experience, including authored proposals that resulted in wins
  • Published writing or speaking experience in AI governance, data ethics, or privacy

Benefits

  • Hybrid work with flexible working hours
  • Choice of Mac or Windows work equipment
  • Comprehensive group health insurance
  • Monthly Grab transportation credits
  • Coverage for job-related training courses and certification fees
  • More than 10 days of annual leave
  • Complimentary snacks and drinks at the office

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