AI Business Architect

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 Share Point 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