**Lead AI Integration as a Vice President** in Metro Manila, testing ideas, proving value, and scaling AI across product and business teams. Translate real needs into practical prototypes, playbooks, and enablement. Partner with stakeholders for safe, consistent adoption. Requires 3+ years in emerging tech integration, experiment design, prototyping, and workshop facilitation. Must have strong stakeholder management skills and working knowledge of common AI/ML application areas. Preferred: experience in scaling enablement programs, responsible AI governance, and leading cross-functional teams.
Full Job Description
Location: Metro Manila, National Capital Region, Philippines
Build whats next by helping teams turn emerging AI into measurable outcomes. In this role, you will partner across product and business teams to test ideas quickly, prove value, and scale what works. You will translate real needs into practical prototypes, playbooks, and enablement that lift how work gets done. You will also help shape responsible ways of working so AI is adopted safely and consistently. If you enjoy combining strategy, hands-on building, and coaching others, this role is for you.Job summary
As an Applied AI integration lead in Home Lending, you help teams across product and the business get more from AI. You run experiments to identify what improves outcomes, scale successful patterns through enablement and prototypes, and advise leaders on practical AI strategy. You also help steward responsible adoption by partnering with governance and technology stakeholders.
Job responsibilities
Lead discovery with partners to identify high-impact opportunities where AI can improve customer, employee, or operational outcomesDesign and run experiments to evaluate AI use cases using measurable success criteria (e.g., quality, cycle time, risk reduction, cost, or customer experience)Build and iterate prototypes and lightweight tools that demonstrate value and inform production decisionsPartner with engineering, data, and platform teams to transition validated prototypes into production-ready solutions when appropriateEstablish and maintain a prioritized, business-driven pipeline of AI ideas, including intake, triage, routing, and status visibilityCreate and deliver a tiered enablement program (baseline learning, practitioner level, advanced builders) through workshops and reusable learning contentProvide consultation to teams on selecting fit-for-purpose AI approaches and integrating solutions into existing workflowsDefine and track adoption and impact metrics, and communicate outcomes and learnings to stakeholders and leadershipPromote responsible AI practices by aligning delivery with applicable risk, governance, and control expectationsStay current on industry and technology trends, and assess new techniques for applicability to business problemsMay lead a team, including coaching, mentoring, and setting direction across multiple initiativesRequired qualifications, capabilities and skills
3 years of experience helping teams integrate emerging technology into business workflows or productsDemonstrated experience designing and running experiments or pilots with clear success metricsDemonstrated experience building prototypes or tools that apply machine learning or related techniques to business problemsExperience creating learning content and facilitating workshops for professional audiencesAbility to translate ambiguous strategy into scoped, prioritized work and actionable plansStrong stakeholder management skills, including communicating trade-offs, risks, and recommendations to diverse audiencesWorking knowledge of common AI/ML application areas such as natural language processing, speech recognition, or time series forecastingPreferred qualifications, capabilities and skills
Experience scaling enablement, accelerator, or adoption programs across multiple teamsExperience partnering with governance, risk, controls, or similar stakeholders to support responsible AI deliveryExperience leading multiple initiatives in parallel, including coordinating work across cross-functional teamsExperience building evaluation approaches for AI solutions (e.g., quality metrics, testing design, monitoring considerations)Experience presenting learnings and recommendations to senior stakeholders in clear, practical terms
Help teams apply AI effectively through experiments, prototypes, enablement, and responsible adoption at scale.
