V

VF

Operates global apparel, footwear, accessories brands

Data Product Owner - AI Products

Technical Product ManagementPosted on Nov 12
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • Minimum 5 years of related professional experience, including demonstrated experience in data or AI product ownership or management.
  • Practical experience in product management, Scrum, and Agile delivery, ideally on data-intensive or AI/machine-learning products.
  • Experience leveraging AI tools for product management and day-to-day productivity enhancement.
  • Experience using AI to redesign or optimize workflows and achieve measurable outcomes.
  • Supply Chain domain business acumen; knowledge of costing, quality, sourcing, planning, or logistics is highly valued.
  • Hands-on experience conducting user interviews and translating findings into product requirements, user stories, and design decisions.
  • A strong sense for front-end design and user experience, including making data products intuitive, trustworthy, and useful.
  • Sufficient understanding of AI/machine-learning concepts to engage with data scientists and evaluate feasibility of AI-driven features.
  • Ability to collaborate effectively and influence across multiple stakeholder groups.
  • Familiarity with data and analytics tools such as Azure, Databricks, AWS, Tableau, or Power BI.
  • Confidence to raise concerns, challenge ambiguity, and make balanced recommendations.
  • Integrity, courage, empathy, inclusiveness, and ability to navigate multicultural, multi-stakeholder environments.
  • An end-to-end mindset and attention to detail.

Responsibilities

  • Contribute to the full lifecycle of AI and data products in scope, including shaping requirements, supporting design, coordinating development, testing, release, and continuous improvement.
  • Maintain and refine the product backlog in alignment with the Supply Chain AI Product roadmap.
  • Translate business needs and user feedback into clear use cases, supporting the strategic roadmap owned by the Director, Data Product Management.
  • Assist in developing product concepts, value assessments, and prioritization proposals, considering business value and AI/machine-learning feasibility.
  • Plan and conduct user research and interviews with Global Supply Chain stakeholders to understand workflows, pain points, and unmet needs, and translate insights into product decisions.
  • Create wireframes and low-fidelity prototypes to communicate design intent and validate concepts with users before development; partner with technical teams to co-design AI-powered solutions and user experiences.
  • Collaborate within an Agile team and participate in sprint planning, reviews, and retrospectives.
  • Work with Product Owners, Data Scientists, Architects, Data/AI/Digital Engineers, and QA testers to align on features, dependencies, and delivery timelines.
  • Bridge AI/machine-learning model outputs and front-end user experience, ensuring predictions and recommendations are explainable, actionable, and trusted.
  • Support monitoring product KPIs and release-specific success metrics, including model accuracy, user adoption, and business impact.
  • Work with business COE teams to support user adoption and ensure a smooth experience of delivered AI products and features.
  • Ensure requirements and features align with data governance policies, business definition standards, and AI ethics guidelines.
  • Monitor data integrity and raise issues for remediation.
  • Communicate progress, risks, dependencies, and value outcomes to stakeholders.
  • Support product release planning and coordinate expectations for upcoming features.
  • Collaborate with external partners and vendors to support delivery quality and performance.
  • Gather product needs from Supply Chain business users and translate them into user stories and acceptance criteria for AI-powered features.
  • Connect roadmap priorities to incremental product development and ensure transparency in backlog prioritization.
  • Help define metrics measuring the value of released AI products or features, including model performance and business outcomes.
  • Bridge technical teams in data science, engineering, architecture, and testing with business teams across Global Supply Chain.
  • Validate product outcomes using user needs, business impact, and data insights.
  • Foster an organized, collaborative, and Agile delivery rhythm within the team.

Desired Qualifications

  • A formal education and subsequent undergraduate or graduate degrees in a related field are nice to have.
  • Knowledge of costing, quality, sourcing, planning, or logistics within the Supply Chain domain is highly valued.
  • Experience in product management, Scrum, and Agile delivery on data-intensive or AI/machine-learning products is ideally preferred.

About the Company

VF

Operates global apparel, footwear, accessories brands

VF Corporation coordinates a global portfolio of apparel, footwear, and accessories brands with a focus on outdoor, active, and workwear. The company’s products span clothing, footwear, and accessories under recognizable names like The North Face, Vans, Timberland, and Dickies. It operates through multiple channels, selling wholesale to mass merchants, specialty stores, and department stores, while also running direct-to-consumer options via VF-owned stores, concessions, and e-commerce. VF differentiates itself by combining a large, diversified brand roster with an omnichannel strategy and an internal venture arm (VF Venture Foundry) that tests new platforms, services, and experiences. Its goal is to grow its brands and revenue by expanding its direct-to-consumer presence, optimizing its multi-channel distribution, and evolving the business to respond to market changes.

Company size
10,001+
Company stage
IPO
Headquarters
Denver, CO
Founded
1899

Recently Posted Jobs

Explore more opportunities at VF

See more jobs