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Job Title: D-commerce AI Product Owner
Location: Bangalore, India
Role Summary: This role is part of the global dCom product team, which is tasked to deliver billion plus euros in incremental turnover across different online commerce archetypes. AI Product Owner in D-commerce is responsible for defining, prioritizing, and managing the product backlog for AI products, ensuring they align with business goals and customer needs. This role involves close collaboration with stakeholders (across Business Groups and markets), development teams, and UX designers to deliver high-quality e-commerce experience and growth programs. The Product Owner acts as the voice of the customer, translating business needs into actionable user stories and driving the product vision forward. Role will drive AI initiatives like automated insights, real-time actions, and agentic execution with retailers and media platforms etc.
Expected Work
AI Thought Leadership:
Product Vision & Strategy:
Backlog Management & Prioritization:
MLOps Development & Execution:
Lead cross-functional steering committees to ensure alignment and secure buy-in for major product initiatives.
. • Work closely with UX/UI designers to create intuitive and engaging user interfaces
. • Accept completed user stories, verifying that they meet the defined acceptance criteria and quality standards.
Executive Stakeholder Management & Influence:
Experience & Technical skills needed:
AI/ML Fluency: Strong foundational understanding of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI concepts, architectures, and applications in a business context.
Technical expertise: Data Bricks, Azure or equivalent cloud technologies
Proficiency in Python, PySpark, Spark streaming, SQL database, DAX, PBI (other relevant BI tool)
Product: Proven ability to develop and articulate a clear product vision and long-term strategy for AI products, aligned with overall business objectives
Data & MLOps: Familiarity with the data lifecycle, MLOps (Machine Learning Operations) principles, and how to work with data scientists/engineers to define requirements for model development and deployment .
Technical Acumen: Ability to translate complex business needs into actionable user stories, acceptance criteria, and technical requirements for a development team. e-commerce
Domain Knowledge: Deep understanding of the Digital Commerce (D-comm) ecosystem, including Retailer/CBD, Retail Media, Content, fulfilment etc.
Key Interfaces
Our commitment to Equality, Diversity & Inclusion
Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.
Note: "All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding."
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