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Posted on 2025/11/14

Product Owner 4 - AI/ML [T500-20228]

Costco IT

Gandhi Nagar, Tamil Nadu, India

Full-time

Full Description

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, wefoster 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

• 12+ years of experience in Product management or Product Owner role

• Mastery of product management and agile methodologies: Lead vision, strategy, and execution for complex data and AI product portfolios.

• Deep expertise in data, ML, and AI products: Advanced understanding of data pipelines, ML model deployment, and AI feature integration at scale.

• Significant experience in designing and launching high-impact data and AI products: Proven track record of delivering business value through data-driven and AI-powered solutions.

• Strong leadership and team management skills: Build, mentor, and lead high-performing product teams.

• Excellent strategic thinking and problem-solving abilities: Translate business challenges into innovative, scalable product solutions.

• Exceptional communication and influencing skills: Advocate for product initiatives, influence executive decisions, and represent the organization externally through conferences, publications, and industry engagement

Must Have Skills:

• Product strategy & roadmap leadership (data/AI domain)

• Experience with ML/AI products, pipelines, and deployment at scale with a proven track record of delivering business value through data-driven and AI powered solutions.

• Agile product management & cross-functional team leadership

• Strong stakeholder communication and executive alignment skill.

• Experience with GitHub, ADO, GCP.