AI Product Owner

AI Product Owner

Role Purpose

We are seeking a strategic and technically savvy AI Product Owner to drive the vision, roadmap, and execution of AI-powered solutions that deliver measurable business value. This role bridges business needs and technical development, ensuring AI products are user-centric, scalable, and aligned with organizational strategy.

The ideal candidate will have strong experience in product ownership, AI/ML technologies, data strategy, and agile delivery, coupled with excellent stakeholder management and communication skills.

Key Responsibilities

Product Vision & Strategy

• Define and communicate the AI product vision, roadmap, and value proposition.
• Collaborate with business leaders, data scientists, and engineers to align AI initiatives with organizational objectives.
• Identify AI opportunities by analyzing market trends, emerging technologies, and customer pain points.

Product Backlog & Delivery

• Own, prioritize, and refine the AI product backlog, ensuring alignment with strategic goals.
• Translate complex business needs and technical concepts into clear user stories, acceptance criteria, and requirements.
• Partner with agile teams to deliver incremental value through AI models, automation, and intelligent features.

AI Solution Design & Validation

• Work closely with data science and engineering teams to shape AI/ML model development, testing, and deployment.
• Ensure explainability, transparency, and ethical considerations in AI-driven solutions.
• Validate model performance against business KPIs and refine based on feedback.

Stakeholder & Customer Engagement

• Act as the primary liaison between technical teams and business stakeholders.
• Gather feedback from end-users and stakeholders to continuously improve product features.
• Deliver regular updates and product demonstrations to leadership and stakeholders.

Governance & Compliance

• Ensure AI products comply with data privacy, security, and regulatory requirements.
• Advocate for responsible AI use and contribute to governance frameworks and policies.

Qualifications & Experience

Education:

• Bachelors degree in Computer Science, Data Science, Business, or a related field (Masters preferred).
• Product Owner or Agile certifications (CSPO, SAFe POPM, etc.) advantageous.

Experience:

• 5+ years in product management/ownership, with at least 2 years focused on AI, data-driven, or ML products.
• Strong understanding of AI/ML concepts, data pipelines, and cloud platforms (Azure, AWS, GCP).
• Proven track record of delivering digital/AI-enabled solutions in an agile environment.
• Experience working with data science, engineering, and UX/UI teams.

Technical & Professional Skills:

• Knowledge of AI/ML lifecycle, MLOps, and data governance principles.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent communication, stakeholder management, and presentation skills.
• Familiarity with regulatory and ethical considerations in AI deployment.