AI Product Owner.Injaz - Artificial Intelligence.MIT

Key Result Areas

Product Strategy & Roadmap

• Define the vision, strategy, and roadmap for AI products in alignment with organizational goals.
• Translate business needs into AI product requirements and prioritize features based on value and feasibility.
• Continuously assess market trends, customer feedback, and emerging AI technologies to inform product evolution.Backlog Management & Delivery

• Own and manage the product backlog, ensuring clarity, prioritization, and alignment with sprint goals.
• Collaborate with engineering and data science teams to ensure timely delivery of high-quality AI features.
• Define acceptance criteria and validate deliverables against business objectives.Stakeholder Engagement

• Act as the primary point of contact for business stakeholders, ensuring alignment on priorities and expectations.
• Communicate product vision, progress, and outcomes to executives and cross-functional teams.
• Facilitate workshops and demos to gather feedback and drive adoption.Governance & Compliance

Ensure AI products comply with internal governance frameworks, regulatory requirements, and responsible AI principles.

• Partner with AI Governance, Risk, and Security teams to embed controls for fairness, transparency, and explainability.Performance & Value Realization

• Define KPIs and success metrics for AI products; monitor performance and adoption.
• Drive continuous improvement through data-driven insights and user feedback.

Knowledge, Skills and Experience

Education: Bachelor’s degree in Business, Computer Science, Data Analytics, or related field (MBA preferred).

Preferred experience:

• 8+ years in product management, with at least 3 years in AI/ML or data-driven products, or
• Management consulting background with experience in strategy, operating models, and transformation programs, or
• Startup experience in AI or emerging tech, demonstrating agility and innovation mindset.Skills & Expertise:

• Strong understanding of AI/ML concepts, model lifecycle, and data platforms.
• Experience with Agile methodologies, backlog management tools (e.g., Jira, Azure DevOps).
• Familiarity with AI governance, compliance, and ethical AI practices.Soft Skills: Excellent communication, stakeholder management, and ability to translate technical concepts into business value.