AI / ML Product Lead

About Costco Wholesale

Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience for their members.

About Costco Wholesale India

At Costco Wholesale India, we foster a collaborative space, working to support Costco Wholesale in developing innovative solutions that improve members’ experiences and make employees’ jobs easier. Our employees play a key role in driving and delivering innovation to establish IT as a core competitive advantage for Costco Wholesale.

Position Title : Product Owner 4

Job Description :

Roles & Responsibilities :

• Define the long-term vision and strategy for the organization’s data and AI product portfolio : Set the direction for innovation, growth, and transformation through data-driven and AI-powered solutions.
• Provide technical and strategic guidance, mentorship, and career development for other product owners.
• Identify and explore cutting-edge research areas and technologies : Stay abreast of the latest advancements in data, ML, and AI, and evaluate their potential for the organization.
• Drive innovation and the development of novel data and AI products : Lead efforts, prototype new approaches, and oversee implementation of advanced data and AI solutions.
• Collaborate with executive leadership on strategic decision-making : Align product initiatives with business objectives and organizational priorities.
• Establish and enforce product standards and best practices : Ensure quality, user-centricity, and business impact of data and AI products across the organization.
• Develops a Product portfolio roadmap with defined milestones along with value derivable.
• Develops a structured Business / Products Requirements Document (B / P RD) with clear feature level requirements.
• Represent the organization in external product and data communities : Speak at conferences, publish thought leadership, and build partnerships with academia and industry.
• Defines the sprint plan in Azure Dev Ops (ADO) based on the priority outlined within the overall product vision and roadmap to present in Product Increment (PI) Planning sessions.
• Supports data science technology strategy by forming a backlog of features and user stories for use by the delivery team.
• Articulates requirements for each user story with detailed acceptance criteria.

Technical Skills

Must Have Skills :