AI Product Owner
3 days ago
KEY DUTIES AND RESPONSIBILITIES
The AI Product Owner will play a pivotal role in shaping and delivering innovative AI-driven
solutions within the Technology department. This senior-level position requires a strategic
mindset, deep domain expertise, and the ability to bridge business objectives with technical
execution. Key responsibilities include:
Define Product Vision & Strategy:
Collaborate with stakeholders to understand business objectives and translate them into a clear AI product vision.
Develop and maintain a strategic roadmap for AI initiatives, ensuring alignment with organizational goals.
Backlog Management:
Own and prioritize the AI product backlog, balancing business value and technical feasibility.
Write and refine user stories and acceptance criteria for AI features.
Cross-Functional Collaboration:
Act as the liaison between business stakeholders, data scientists, engineers, and designers.
Facilitate effective communication to ensure shared understanding of product goals and deliverables.
Sprint Planning & Execution:
Participate in Agile ceremonies including sprint planning, reviews, and retrospectives.
Guide development teams to deliver high-quality AI features on schedule.
Data & Model Oversight:
Identify and evaluate data sources for AI model training and validation.
Collaborate on the development, deployment, and monitoring of machine learning models.
Market & User Research:
Conduct market analysis to identify opportunities for AI integration and competitive differentiation.
Gather and analyze user feedback to inform product improvements and future releases.
Compliance & Ethics:
Ensure all AI solutions adhere to ethical standards, data privacy regulations, and industry best practices.
POSITION REQUIREMENTS
Work Experience:
Minimum 5+ years of experience in product management, software development, or data science within the technology domain.
Proven track record managing AI/ML or data-driven products from ideation to launch.
Experience working in cross-functional teams and Agile/Scrum environments.
Educational Qualification:
Bachelor's degree in Computer Science, Engineering, Data Science, Business, or a related field is required.
Master's degree in a technical or business-related discipline is preferred.
Relevant certifications such as Certified Scrum Product Owner (CSPO) or AI Product Management are advantageous.
Skills / Behaviour Attributes:
Strategic thinking and product visioning with a focus on delivering business value through technology.
Excellent communication and stakeholder management skills, able to translate complex technical concepts into clear business outcomes.
Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
Exceptional organizational and prioritization skills, capable of managing multiple initiatives simultaneously.
Deep understanding of AI/ML concepts, data analytics, and model lifecycle management.
Familiarity with Agile/Scrum methodologies and tools such as Jira, Confluence, and data visualization platforms.
Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
Ability to work collaboratively in a fast-paced, innovative environment.
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