Product Owner, AI Products Data (12 Month) at VFC

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Ownership, AI/ML Product Management, Agile Methodology, Scrum, Supply Chain Management, User Research, Wireframing, Data Governance, KPI Monitoring, Stakeholder Management, User Story Writing, Azure, Databricks, AWS, Tableau, PowerBI

Industry

Retail Apparel and Fashion

Description

Join The VF Digital Technology Family! We are looking for a talented Data Product Owner with a passion for AI and a Supply Chain background to support the delivery of VF's next-generation AI-powered Supply Chain Data Products. This role sits within our Digital Technology (DT) organization and partners closely with Global Supply Chain business users and DT Product Owners to bring intelligent, data-driven products to life — spanning costing, quality, planning, and sourcing domains across Global Supply Chain. How You Will Make a Difference What you will do: Support End-to-End Product Ownership Contribute to the full lifecycle of AI and data products in your scope: 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 Product Roadmap and Strategy 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 — with a lens on business value and AI/ML feasibility Product Design Plan and conduct user research and interviews with Global Supply Chain stakeholders to deeply understand workflows, pain points, and unmet needs — translating insights directly into product decisions. Create wireframes and low-fidelity prototypes to communicate design intent and validate concepts with users before development begins; partner with technical teams to co-design AI-powered solutions that deliver the best end-to-end user experience. Product Development Collaborate within an Agile team framework and participate in sprint ceremonies including planning, reviews, and retrospectives. Work closely with Product Owners, Data Scientists, Architects, Data/ AI/ Digital Engineers, and QA testers to ensure alignment on features, dependencies, and delivery timelines. Bridge the gap between AI/ML model outputs and front-end user experience — ensuring predictions and recommendations are explainable, actionable, and trusted. Benefits Realization and Product Performance Support monitoring of product KPIs and release-specific success metrics, including model accuracy, user adoption, and measurable business impact. Work with business COE teams to support user adoption and ensure smooth experience of delivered AI products and features Data Governance and Quality Ensure requirements and features align with VF's data governance policies, business definition standards, and AI ethics guidelines. Assist in monitoring data integrity and raising issues proactively for remediation. Product Management and Partnership Communicate progress, risks, dependencies, and value outcomes to relevant stakeholders. Support planning of product releases and coordinate expectations for upcoming features. Collaborate with external partners and vendors to support delivery quality and performance. How you will do it Engage with Supply Chain business users to gather product needs and translate them into clear 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 that measure value once an AI product or feature is released — including model performance and business outcome measures. Serve as a bridge between technical teams (data science, engineering, architecture, testing) and business teams across Global Supply Chain. Validate product outcomes by grounding decisions in user needs, business impact, and data insights. Foster an organized, collaborative, and Agile delivery rhythm within the team What success looks like: You develop a clear understanding of VF's AI product portfolio, supply chain users, and the digital opportunities within Global Supply Chain — contributing meaningfully to the Data Product roadmap. You help ship reliable, trusted, and well-adopted AI products and features that strengthen VF's Data & AI transformation. Stakeholders view you as a dependable partner who brings clarity, structure, and thoughtful recommendations. You build strong working relationships with business stakeholders, global digital teams, and delivery partners. Product delivery becomes more efficient through well-groomed backlogs, clear documentation, and smoother sprint execution. Free to Be, Inclusion & Diversity As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness, and authenticity. We are committed to building and maintaining a workplace that celebrates the diversity of our associates, allowing them to bring their authentic selves to work everyday. What we expect you already have: Years of related professional experience: Minimum 5 years, with demonstrated experience in data or AI product ownership or management. Educational position requirements: A formal education and subsequent undergraduate/graduate degrees in a related field are nice to have, but we are most interested in your total experience and professional achievements. Practical experience in product management, Scrum, and Agile delivery — ideally on data-intensive or AI/ML products Skilled in leveraging AI tools for product management and day-to-day productivity enhancement. Experienced in using AI to redesign or optimize workflows and achieve measurable outcomes Business acumen developed within a Supply Chain domain — 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 — you have an instinct for what makes a data product feel intuitive, trustworthy, and genuinely useful, and you bring that perspective into every product decision. Sufficient understanding of AI/ML concepts to engage credibly with data scientists and evaluate feasibility of AI-driven features — you don't need to write the models, but you need to ask the right questions Excellent communication skills; able to collaborate effectively and influence across multiple stakeholdergroups. Familiarity with data and analytics tools such as Azure, Databricks, AWS, Tableau, or PowerBI. Confidence to raise concerns, challenge ambiguity, and make balanced recommendations Integrity and courageousness — willing to say “No” when needed to protect product value and company interest Empathy and inclusiveness, with the ability to navigate multi-cultural, multi-stakeholder environments. An end-to-end mindset with great attention to detail. What we will teach you: Leading Agile product management and the AI data product development lifecycle in VF's digital environment. Deep knowledge of VF's digital platforms, AI product portfolio, and data ecosystems across the APAC region and globally. Frameworks for defining product value, measuring AI/ML impact, and driving user adoption across Supply Chain functions.VF's data governance standards, AI ethics frameworks, and scalable data product practices. Collaboration within a global matrixed organization — working across engineering, analytics, and vend or teams. Skills to grow into owning larger product scopes and leading AI product strategy over time. R-20260603-0048 VF Corporation outfits consumers around the world with its diverse portfolio of iconic lifestyle brands, including Vans®, The North Face®, and Timberland®. Founded in 1899, VF is one of the world's largest apparel, footwear and accessories companies with socially and environmentally responsible operations spanning numerous geographies, product categories and distribution channels. VF is committed to delivering innovative products to consumers and creating long-term value for its customers and shareholders. VF Diversity Vision Statement VF is committed to creating an inclusive environment that welcomes and values the differences among all of our associates, customers, suppliers and the communities in which we live and conduct business. The continued success and growth of VF is enhanced through initiatives that promote diversity throughout VF around the world. VF is an equal employment opportunity employer of minorities, females, protected veterans and the disabled. VF is committed to providing equal opportunities in employment, and treating our VF associates and VF applicants without discrimination on the basis of their race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, protected veteran status, HIV/AIDS status, or any other legally protected factor. VF is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration and equality of opportunity, and will do so by striving to identify, prevent and remove barriers to accessibility wherever possible as well as by meeting the accessibility requirements under the ADA, AODA, and other applicable state, local or provincial regulations. VF is committed to digital accessibility, and to conforming to the Web Content Accessibility Guidelines (WCAG) 2.1, Level AA and complying with the ADA and AODA Standards for Accessible Design, and other applicable regulations. If you need an accommodation or have any questions regarding this statement, please send your request to PeopleServices@vfc.com.

Responsibilities

Lead the end-to-end lifecycle of AI-powered supply chain data products, from shaping requirements and managing the product backlog to coordinating development and testing. Act as the primary bridge between technical AI/ML teams and global supply chain business stakeholders to ensure actionable and trusted product outcomes.