Senior Product Owner AI & ML
Role details
Job location
Tech stack
Job description
The mission of the Senior Product Owner AI & ML is to translate advanced Artificial Intelligence and Machine Learning capabilities into scalable, ethical, and high-impact products that create measurable business value. The position holder owns the end-to-end AI product vision, strategy, and execution, ensuring that AI-driven solutions are customer-centric, data-driven, and aligned with business objectives, regulatory requirements, and responsible AI principles. Acting as a bridge between business, technology, and data, the role enables cross-functional teams to deliver AI innovations that enhance efficiency, decision-making, and competitive advantage.
- Define, own, and execute the vision, strategy, and roadmap for AI & ML products
- Ensure AI initiatives align with overall business objectives and global/regional requirements
- Prioritize features and enhancements to maximize business value, efficiency, and impact
- Translate AI capabilities and value propositions for non-technical stakeholders
- Align AI product development with business goals, regulatory requirements, and ethical standards
- Define success metrics and monitor the performance and impact of AI-driven solutions
- Ensure the availability, quality, and readiness of data required for AI product development
- Collaborate with cross-functional teams to ensure compliance with data privacy, security, and governance policies
- Own and manage the AI product backlog, including user stories, prioritization, and acceptance criteria
- Drive timely delivery of AI features and solutions within an agile development environment
- Provide program management oversight for AI initiatives, including planning, dependency management, risk mitigation, and coordination across multiple teams and workstreams
- Establish and promote processes for continuous learning, experimentation, and continuous improvement of AI products.
Requirements
Do you have experience in Natural language processing?, Do you have a Master's degree?, * Bachelor's or Advanced degree (Masters, PhD or equivalent) in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field
- 7+ years of experience in AI, machine learning, or data science, with at least 5 years in leadership or management roles
- Proven experience managing end-to-end AI/ML initiatives, from strategy development to execution and operationalization
- Strong experience working in consumer goods, retail, or fashion is a significant plus
- Deep expertise in machine learning algorithms and frameworks (e.g., supervised and unsupervised learning, reinforcement learning, deep learning)
- Experience with large-scale data platforms and cloud technologies (AWS, GCP, Azure) and familiarity with data engineering and architecture
- Familiarity with the application of AI/ML to customer-facing technologies (e.g., recommendation systems, computer vision, NLP, etc.)
- Exceptional leadership and people management skills, with a track record of building and leading high-performing teams
- Strong communication skills with the ability to translate technical concepts for non-technical stakeholders
- Ability to collaborate across departments, driving alignment and fostering a culture of cross-functional teamwork
- Ability to connect AI/ML projects with broader business strategies and objectives
- Experience delivering business value from AI/ML initiatives, including cost savings, revenue generation, or improved customer engagement
- Proactive approach to identifying new business opportunities for AI/ML integration.