AI Business Architect

WTW; Philippines; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

WTW is seeking a seasoned professional to lead AI risk governance and enablement across regulatory and business environments. The role requires shaping risk policies, guiding AI initiatives through maturity assessments, and partnering with Legal, Compliance, Risk, and IT Security to ensure robust risk clearance for IT handoffs.

The candidate will drive quarterly portfolio health reviews, maintain horizon scans for EU AI Act and NIST AI RMF, and co-own change programs with HR and Finance to

Qualifications

• 8+ years in technology risk, governance, organizational change management, enablement, or a related field.
• 3+ years working with AI/ML risk or model governance, or with enterprise technology rollouts.
• Demonstrated experience in regulated environments or building enablement programs at scale.
• Bachelor's degree in relevant field or equivalent experience.
• Strong analytical, documentation, content, and communication skills.

Responsibilities

• Support the implementation of AI governance and risk programs across multiple maturity stages, defining criteria and driving sunset decisions for underperforming initiatives.
• Operate governance for business case evaluation and ROI, collaborating with Finance to ensure rigor.
• Author AI risk policies, responsible-AI standards, and review checklists; conduct model risk reviews for IT handoffs.

Job description

• Support the implementation of AI products across all layers of maturity measurement: define stage criteria, run progression reviews, and drive sunset decisions for initiatives that fail to mature
• Operate business case evaluation governance (scoring framework, value attestation standards, and post-deployment ROI), co-owning rigor with Finance
• Author and maintain AI risk policy, responsible-AI standards, and review checklists; conduct model risk reviews and produce the risk-clearance section of every IT handoff package
• Liaise with Legal, Compliance, Risk, and IT Security; lead audit support for AI/automation audit findings
• Conduct quarterly portfolio health reviews and maintain the regulatory horizon scan (EU AI Act, US state AI laws, ISO 42001, NIST AI RMF)
• Curate, maintain, and propagate the shared playbook library of repeatable patterns; feed post-deployment learnings back into it
• Co-own workforce change and training with HR for every major initiative; author change plans and lead the change champion network
• Co-own outcome measurement and the value memo cadence with Finance; define and instrument KPIs per initiative
• Build and run the AI literacy and enablement program at scale; build and steward the internal AI knowledge platform
• Manage AI vendor enablement at the user-experience layer
• Author the change and training sections of every IT handoff package

Description

The Role

• Support the implementation of AI products across all layers of maturity measurement: define stage criteria, run progression reviews, and drive sunset decisions for initiatives that fail to mature
• Operate business case evaluation governance (scoring framework, value attestation standards, and post-deployment ROI), co-owning rigor with Finance
• Author and maintain AI risk policy, responsible-AI standards, and review checklists; conduct model risk reviews and produce the risk-clearance section of every IT handoff package
• Liaise with Legal, Compliance, Risk, and IT Security; lead audit support for AI/automation audit findings
• Conduct quarterly portfolio health reviews and maintain the regulatory horizon scan (EU AI Act, US state AI laws, ISO 42001, NIST AI RMF)
• Curate, maintain, and propagate the shared playbook library of repeatable patterns; feed post-deployment learnings back into it
• Co-own workforce change and training with HR for every major initiative; author change plans and lead the change champion network
• Co-own outcome measurement and the value memo cadence with Finance; define and instrument KPIs per initiative
• Build and run the AI literacy and enablement program at scale; build and steward the internal AI knowledge platform
• Manage AI vendor enablement at the user-experience layer
• Author the change and training sections of every IT handoff package

Qualifications

The Requirements

• 8+ years in technology risk, governance, organizational change management, enablement, or a related field
• 3+ years working with AI/ML risk or model governance, or with enterprise technology rollouts
• Demonstrated experience in regulated environments or building enablement programs at scale
• Bachelor's degree in relevant field or equivalent experience
• Strong analytical, documentation, content, and communication skills

Preferred Qualifications

• Insurance or financial services background
• Master's degree or specialized certification (CISA, CRISC, AI governance, Prosci / ADKAR)
• Experience with EU AI Act, ISO 42001, or NIST AI RMF
• Background in CX analytics or business outcome measurement
• Experience with Microsoft Viva or SharePoint knowledge management
• Auditor or audit-liaison experience

Core Competencies

• Defensive thinking without being adversarial; comfort saying no with a paved alternative
• Pattern recognition for risk and maturity
• Empathy for end users; storytelling and narrative shaping
• Systems thinking applied to organizational change
• Comfort with both qualitative and quantitative measurement
• Translates risk and technical concepts for any audience; strong cross-functional partnership

WTW is an Equal Opportunity Employer