Analyst - Data & AI Product Owner
Indexed description
Key Responsibilities
Product Delivery & Lifecycle Management
- Support end-to-end delivery of Data & AI products from requirement definition through deployment and adoption
- Manage and maintain product backlogs, user stories, features, and enhancement requests
- Coordinate delivery activities with business stakeholders, project teams, and implementation partners
- Support sprint planning, backlog refinement, release planning, and delivery tracking
- Monitor product performance and ensure timely resolution of issues and enhancement requests
- Gather, document, and validate business requirements
- Translate business needs into functional requirements, user stories, and acceptance criteria
- Conduct stakeholder workshops, requirement walkthroughs, and product demonstrations
- Ensure requirements are clearly understood by delivery and development teams
- Support prioritization of requirements based on business value and strategic objectives
- Act as the primary interface between business users and delivery teams for assigned products
- Maintain regular engagement with functional stakeholders to align product requirements and priorities
- Support communication of product updates, releases, and enhancement plans
- Facilitate issue resolution and coordinate stakeholder feedback
- Coordinate User Acceptance Testing (UAT) activities
- Ensure test scenarios and acceptance criteria are defined and validated
- Support defect triage and resolution management
- Participate in release readiness reviews and production deployment activities
- Monitor post-release performance and business adoption
- Support product adoption and value realization initiatives
- Gather user feedback and identify opportunities for product enhancements
- Track product utilization, adoption trends, and business benefits
- Support training, communication, and change management activities for assigned products
- Recommend improvements to maximize user experience and business value
- Ensure products comply with established Data & AI governance standards
- Support adherence to data governance, security, PDPL, and organizational policies
- Maintain product documentation, requirements repositories, and operational procedures
- Support reporting of product status, risks, issues, and performance metrics
- Bachelor's degree in Information Systems, Computer Science, Engineering, Data Science, Business Administration, or a related field
- 0-3 years of experience in Product Management, Business Analysis, Digital Products, Data & AI, Analytics, or Technology Delivery
- Understanding of Agile delivery methodologies and product management principles
- Knowledge of Data & AI products, analytics platforms, reporting solutions, or digital products is preferred
- Strong stakeholder management, communication, and documentation skills
- Professional certifications such as PSPO, CSPO, Agile, Scrum, or Business Analysis certifications are preferred
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