AI Transformation & Adoption Leader - Invoice Ops

REALPAGE (PHILIPPINES), INC.

Pasig

Hybrid

PHP 1,800,000 - 3,000,000

Full time

3 days ago

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Benefits offered by this job

Complimentary meals

HMO coverage for dependents

Retirement plan

Leave conversion program

Life insurance

Paid time off

Wellness reimbursement

Tuition reimbursement

Learning & upskilling

Job summary

RealPage Philippines seeks a senior transformation leader to translate the company’s AI strategy into actionable plans across invoice processing workflows. You will identify AI use cases, design human-in-the-loop frameworks, and drive adoption from pilots to scale, with governance and KPI tracking.

This role supports US operations with a hybrid onsite/remote setup after initial training, offering growth and learning opportunities.

Qualifications

Bachelor's degree in Business, Technology, Data Science, or related field.
5–10+ years in transformation, operations, or AI adoption roles.
Experience implementing AI in business processes (preferably invoice/AP workflows).
Proven success in driving large-scale change initiatives.
Strong understanding of AI/GenAI capabilities and limitations.
Expertise in process redesign and human-in-the-loop systems.
Data-driven decision-making and KPI tracking.
Stakeholder management and cross-functional leadership.
Knowledge of responsible AI and governance frameworks.
Master's degree (MBA/MS) preferred.

Responsibilities

Translate RealPage's AI strategy into actionable implementation plans across invoice processing workflows.
Identify, prioritize, and validate AI use cases (e.g., invoice extraction, validation, exception handling, reconciliation).
Design and operationalize human-in-the-loop frameworks ensuring quality, compliance, and accountability.
Lead AI adoption initiatives including pilots, rollouts, and continuous improvement cycles.
Develop playbooks, governance standards, and best practices for AI usage.
Drive behavioral change through training, coaching, and stakeholder engagement.
Monitor adoption metrics and continuously optimize based on data and feedback.
Establish structured intake and evaluation of grassroots AI innovations.
Partner with engineering and platform teams to align business needs with technical capabilities.
Ensure compliance with responsible AI, risk management, and audit requirements.