Ralph Lauren Senior AI Solution Management Manager

BoF Careers; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Ralph Lauren in Hong Kong seeks an Architect and Delivery Lead for APAC AI solutions to turn business opportunities into scalable use cases and build foundational capabilities for scaling AI regionally. You will bridge business, data, and technology teams to identify, shape, design and implement high-impact AI initiatives with measurable value.

This role requires coordinating across business, data, and partner teams, establishing governance, and driving enterprise knowledge and AI operating

Qualifications

• 8+ years of experience in digital transformation, consulting, product management or related roles.
• Proven track record delivering complex business & tech solutions from concept through implementation & adoption.
• Strong ability to translate business requirements into scalable technology solutions.
• Experience working across business, data, technology, and external partner teams.
• Excellent stakeholder management & communication skills with the ability to influence across multiple levels.
• Experience in AI, data, analytics, automation, digital products, or emerging technology programs preferred.

Responsibilities

• Identify, shape, and prioritize high-value AI use cases with business leaders.
• Translate business challenges into solution requirements and AI-enabled workflows.
• Develop concepts and approaches balancing value, feasibility and scalability.
• Coordinate business, technology, data, and partner teams for on-time delivery.
• Establish knowledge governance and AI context foundations.
• Define agent capabilities and orchestration patterns for AI deployments.
• Embed responsible AI principles and risk controls in design and deployment.
• Support creation of reusable standards and best practices for AI delivery.

Skills

AI strategy

Stakeholder management

Cross-functional leadership

Translate business requirements

APAC experience

Product management

Digital transformation

Communication skills

Job description

Company Description

Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands. At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.

Position Overview

The architect and delivery lead for Ralph Lauren APAC's AI solutions agenda, responsible for converting business opportunities into scalable use cases and developing key foundational capabilities to execute AI at scale. This role bridges business, data, and technology teams to identify, shape, design, and implement high-impact AI use cases that deliver measurable value. More than a traditional product role, this position acts as a translator and innovator that builds and scales AI solutions, enterprise knowledge, and Human × AI operating models across APAC.

Essential Duties & Responsibilities

Responsibilities: AI Use Case Discovery, Design & Delivery

• Partner with business leaders to identify, shape, and prioritize high-value AI use cases.
• Translate business challenges into solution requirements, user journeys, and AI-enabled workflows.
• Develop solution concepts, business cases & implementation approaches that balance value, feasibility & scalability.
• Coordinate business, technology, data, and vendor teams to ensure on time and quality execution. Enterprise Context & Knowledge Foundation
• Build & Own APAC's context layer to transform business expertise and institutional know-how into AI-ready assets.
• Partner with business SMEs to codify processes, decision logics, best practices, and domain knowledge into reusable capabilities that can be leveraged across use cases, copilots, and agents.
• Establish knowledge governance & standards to ensure AI solutions are grounded in trusted & accurate context. AI Platform, Agent & Ecosystem Enablement
• Partner global & APAC tech teams, platform providers & vendors to design ecosystem of AI agents & copilots.
• Define agent capabilities, decision boundaries, and orchestration patterns across functions.
• Create reusable agent architectures that accelerate future use case deployment at scale. Human X AI workflow and workforce and transformation
• Reshape how humans and AI work together across key business workflows.
• Redefine roles, responsibilities, and decision-making between people and AI agents.
• Embed Human × AI ways of working into daily operations to drive productivity and innovation.
• Ensure solutions comply with enterprise architecture, security, privacy, and governance standards.
• Embed globally consistent responsible AI principles and risk controls within solution design and deployment.
• Support the development of reusable standards, frameworks, and best practices for AI delivery.

Requirements

Experience, Skills & Knowledge

• 8+ years of experience in digital transformation, consulting, product management or related roles.
• Proven track record delivering complex business & tech solutions from concept through implementation & adoption.
• Strong ability to translate business requirements into scalable technology solutions.
• Experience working across business, data, technology, and external partner teams.
• Excellent stakeholder management & communication skills with the ability to influence across multiple levels.
• Experience in AI, data, analytics, automation, digital products, or emerging technology programs preferred.